PPoPP 2021 Contributors

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A Sarita AdveAdve, Sarita University of Illinois at Urbana-Champaign ApproxTuner: A Compiler and Runtime System for Adaptive Approximations
Vikram S. AdveAdve, Vikram S. University of Illinois at Urbana-Champaign ApproxTuner: A Compiler and Runtime System for Adaptive Approximations
Udit AgarwalAgarwal, Udit UT Austin BiPart: A Parallel and Deterministic Hypergraph Partitioner
Alex AikenAiken, Alex Stanford Univeristy Scaling Implicit Parallelism via Dynamic Control Replication
Dan AlistarhAlistarh, Dan IST Austria Committee Member in External Review Committee for PPoPP 2021
Stergios V. AnastasiadisAnastasiadis, Stergios V. University of Ioannina POSTER: A Lock-free Relaxed Concurrent Queue for Fast Work Distribution
Jonathon AndersonAnderson, Jonathon Rice University Parallel Binary Code Analysis
B Pavan BalajiBalaji, Pavan Argonne National Laboratory Lightweight Preemptive User-Level Threads
Grey BallardBallard, Grey Sandia National Laboratories Committee Member in Program Committee for PPoPP 2021
Michael BauerBauer, Michael NVIDIA Scaling Implicit Parallelism via Dynamic Control Replication
Vicenç BeltranBeltran, Vicenç Barcelona Supercomputing Center Advanced Synchronization Techniques for Task-based Runtime Systems
Naama Ben-DavidBen-David, Naama VMware ResearchUnited States Committee Member in Program Committee for PPoPP 2021 Session Chair of Session 4. Memory Management (part of PPoPP Main Conference) Constant-Time Snapshots with Applications to Concurrent Data Structures
Tal Ben-NunBen-Nun, Tal Department of Computer Science, ETH ZurichSwitzerland Committee Member in Program Committee for PPoPP 2021 POSTER: On the Parallel I/O Optimality of Linear Algebra Kernels: Near-Optimal LU Factorization
Maciej BestaBesta, Maciej ETH Zurich POSTER: On the Parallel I/O Optimality of Linear Algebra Kernels: Near-Optimal LU Factorization
Guy E. BlellochBlelloch, Guy E. Carnegie Mellon University Committee Member in External Review Committee for PPoPP 2021 Constant-Time Snapshots with Applications to Concurrent Data Structures
Michael D. BondBond, Michael D. Ohio State University Committee Member in External Review Committee for PPoPP 2021
Edward BortnikovBortnikov, Edward Verizon Media Committee Member in Program Committee for PPoPP 2021
Peer-Timo BremerBremer, Peer-Timo Lawrence Livermore National Laboratory Understanding a Program's Resiliency Through Error Propagation
André BrinkmannBrinkmann, André Johannes Gutenberg U MainzGermany Committee Member in Program Committee for PPoPP 2021
Trevor BrownBrown, Trevor University of WaterlooCanada Committee Member in Program Committee for PPoPP 2021
Trevor BrownBrown, Trevor University of Waterloo NBR: Neutralization Based Reclamation
Aydın BuluçBuluç, Aydın University of California at Berkeley & Lawrence Berkeley National Lab POSTER: Asynchrony versus Bulk-Synchrony for a Generalized N-body Problem from Genomics
Martin BurtscherBurtscher, Martin Texas State University BiPart: A Parallel and Deterministic Hypergraph Partitioner
C Zixian CaiCai, Zixian Australian National UniversityAustralia Synthesizing Optimal Collective Algorithms
Alexandru CalotoiuCalotoiu, Alexandru ETH Zurich Extracting Clean Performance Models from Tainted Programs
ZongYan CaoCao, ZongYan Alibaba Group DAPPLE: A Pipelined Data Parallel Approach for Training Large Models
Erin Claire CarsonCarson, Erin Claire Charles University Czech Republic Committee Member in Program Committee for PPoPP 2021
Marc CasasCasas, Marc Barcelona Supercomputing Center Efficiently Running SpMV on Long Vector Architectures
Milind ChabbiChabbi, Milind Uber TechnologiesUnited States Committee Member in External Review Committee for PPoPP 2021 Artifact Evaluation Co-Chair in Artifact Evaluation Committee for PPoPP 2021 Artifact Evaluation Co-Chair in Organizing Committee for PPoPP 2021 Session Chair of Session 2. Compilers, Analysis, Synthesis (part of PPoPP Main Conference)
Aparna ChandramowlishwaranChandramowlishwaran, Aparna University of California, IrvineUnited States Committee Member in Program Committee for PPoPP 2021
Guoyang ChenChen, Guoyang Alibaba Group US Inc. EGEMM-TC: Accelerating Scientific Computing on Tensor Cores with Extended Precision
Jieyang ChenChen, Jieyang Committee Member in Artifact Evaluation Committee for PPoPP 2021
Wenguang ChenChen, Wenguang Tsinghua University POSTER: DFOGraph: An I/O- and Communication-Efficient System for Distributed Fully-out-of-Core Graph Processing
YuAng ChenChen, YuAng The Chinese University of Hong Kong, Shenzhen POSTER: Corder: Cache-Aware Reordering for Optimizing Graph Analytics
Yifeng ChengCheng, Yifeng Peiking University, China POSTER: Extending MapReduce Framework with Locality Keys
Hyungmin ChoCho, Hyungmin Sungkyunkwan UniversitySouth Korea Local Arrangements/Registration Chair in Organizing Committee for PPoPP 2021
Xiaowen ChuChu, Xiaowen Hong Kong Baptist University POSTER: Simplifying Low-Level GPU Programming with GAS
Muhammad Saad ChughtaiChughtai, Muhammad Saad Georgia Institute of Technology POSTER: FFT Blitz: The Tensor Cores Strike Back
Yeh-Ching ChungChung, Yeh-Ching The Chinese University of Hong Kong, Shenzhen POSTER: Corder: Cache-Aware Reordering for Optimizing Graph Analytics
Albert CohenCohen, Albert GoogleFrance Committee Member in Program Committee for PPoPP 2021 Session Chair of Session 10. Machine Learning and Software Engineering (part of PPoPP Main Conference)
Nachshon CohenCohen, Nachshon AmazonIsrael Committee Member in Program Committee for PPoPP 2021
Murray ColeCole, Murray University of Edinburgh Modernizing Parallel Code with Pattern Analysis
Marcin CopikCopik, Marcin ETH Zurich Extracting Clean Performance Models from Tainted Programs
Andreia CorreiaCorreia, Andreia University of Neuchatel, Switzerland OrcGC: Automatic Lock-Free Memory Reclamation Efficient Algorithms for Persistent Transactional Memory
D Abdul DakkakDakkak, Abdul University of Illinois at Urbana-Champaign POSTER: FFT Blitz: The Tensor Cores Strike Back
Abdul DakkakDakkak, Abdul Microsoft Chat with Researchers from Microsoft
Sadegh DalvandiDalvandi, Sadegh University of Surrey POSTER: Verifying C11-Style Weak Memory Libraries
Daniele De SensiDe Sensi, Daniele ETH ZurichSwitzerland Committee Member in Artifact Evaluation Committee for PPoPP 2021
James W. DemmelDemmel, James W. UC Berkeley POSTER: Dynamic Scaling for Low-Precision Learning GPTune: Multitask Learning for Autotuning Exascale Applications
Brian DemskyDemsky, Brian University of California at Irvine Committee Member in External Review Committee for PPoPP 2021
Sahil DhokedDhoked, Sahil The University of Texas at Dallas POSTER: On Group Mutual Exclusion for Dynamic Systems
Mario Di RenzoDi Renzo, Mario Sapienza University of Rome Scaling Implicit Parallelism via Dynamic Control Replication
Lansong DiaoDiao, Lansong Alibaba Group DAPPLE: A Pipelined Data Parallel Approach for Training Large Models
Dave DiceDice, Dave Oracle Labs Committee Member in External Review Committee for PPoPP 2021
Xiaoning DingDing, Xiaoning New Jersey Institute of Technology POSTER: In-situ Workflow Auto-tuning through Combining Component Models
Yufei DingDing, Yufei UC Santa Barbara EGEMM-TC: Accelerating Scientific Computing on Tensor Cores with Extended Precision
Brijesh DongolDongol, Brijesh University of Surrey POSTER: Verifying C11-Style Weak Memory Libraries
Xiaoyong DuDu, Xiaoyong Renmin University of China POSTER: Exploring Deep Reuse in Winograd CNN Inference
Christophe DubachDubach, Christophe McGill UniversityCanada Committee Member in External Review Committee for PPoPP 2021
Sultan DurraniDurrani, Sultan University of Illinois at Urbana-ChampaignUnited States POSTER: FFT Blitz: The Tensor Cores Strike Back
E Bernhard EggerEgger, Bernhard Seoul National UniversitySouth Korea Committee Member in Program Committee for PPoPP 2021 Workshops and Tutorials Chair in Organizing Committee for PPoPP 2021
Marquita EllisEllis, Marquita University of California at Berkeley & Lawrence Berkeley National Lab POSTER: Asynchrony versus Bulk-Synchrony for a Generalized N-body Problem from Genomics
F Shiqing FanFan, Shiqing Alibaba Group DAPPLE: A Pipelined Data Parallel Approach for Training Large Models
Jiarui FangFang, Jiarui TencentChina TurboTransformers: An Efficient GPU Serving System For Transformer Models
Panagiota FatourouFatourou, Panagiota FORTH ICS and University of Crete, Greece Constant-Time Snapshots with Applications to Concurrent Data Structures
Pascal FelberFelber, Pascal University of NeuchâtelSwitzerland Committee Member in Program Committee for PPoPP 2021 Session Chair of Session 9. Tasks, Threads, and Fault Tolerance (part of PPoPP Main Conference) OrcGC: Automatic Lock-Free Memory Reclamation Efficient Algorithms for Persistent Transactional Memory
Boyuan FengFeng, Boyuan UC Santa Barbara EGEMM-TC: Accelerating Scientific Computing on Tensor Cores with Extended Precision
Erich FochtFocht, Erich NEC Efficiently Running SpMV on Long Vector Architectures
Ian FosterFoster, Ian Argonne Nat Lab and U.Chicago POSTER: In-situ Workflow Auto-tuning through Combining Component Models
Björn FrankeFranke, Björn University of EdinburghUnited Kingdom Modernizing Parallel Code with Pattern Analysis
Donald FussellFussell, Donald University of Texas at Austin A Fast Work-Efficient SSSP Algorithm for GPUs
G Michael GarlandGarland, Michael NVIDIA Committee Member in Program Committee for PPoPP 2021 Scaling Implicit Parallelism via Dynamic Control Replication
Gurbinder GillGill, Gurbinder University of Texas at Austin, USA Committee Member in Artifact Evaluation Committee for PPoPP 2021
Roberto GioiosaGioiosa, Roberto Pacific Northwest National Laboratory Sparta: High-Performance, Element-Wise Sparse Tensor Contraction on Heterogeneous Memory
Shreyas GokhaleGokhale, Shreyas The University of Texas at Dallas POSTER: On Group Mutual Exclusion for Dynamic Systems
Thomas GrossGross, Thomas ETH ZurichSwitzerland Committee Member in External Review Committee for PPoPP 2021
Tobias GrosserGrosser, Tobias University of Edinburgh Extracting Clean Performance Models from Tainted Programs
Boris GrotGrot, Boris University of Edinburgh Publicity Co-Chair (Europe) in Organizing Committee for PPoPP 2021
Yanfei GuoGuo, Yanfei Argonne National Laboratory POSTER: In-situ Workflow Auto-tuning through Combining Component Models
Sam GuyerGuyer, Sam Tufts UniversityUnited States Committee Member in External Review Committee for PPoPP 2021
Constantino GómezGómez, Constantino Barcelona Supercomputing Center Efficiently Running SpMV on Long Vector Architectures
H Mary HallHall, Mary University of Utah Data Layout and Data Representation Optimizations to Reduce Data Movement Improving Communication by Optimizing On-Node Data Movement with Data Layout
Mingcong HanHan, Mingcong East China Normal University ShadowVM: Accelerating Data Plane for Data Analytics with Bare Metal CPUs and GPUs
Ruobing HanHan, Ruobing Peking University POSTER: Dynamic Scaling for Low-Precision Learning
Yueming HaoHao, Yueming North Carolina State University Committee Member in Artifact Evaluation Committee for PPoPP 2021
Seif HaridiHaridi, Seif KTH Royal Institute of Technology, Sweden Investigating the Semantics of Futures in Transactional Memory Systems
Tim HarrisHarris, Tim Microsoft, UKUnited Kingdom Committee Member in Program Committee for PPoPP 2021 Session Chair of Session 8. Scientific Computing & Optimizations (part of PPoPP Main Conference) Chat with Researchers from Microsoft
Ahmed HassanHassan, Ahmed Lehigh University POSTER: Bundled References: An Abstraction for Highly-Concurrent Linearizable Range Queries
Danny HendlerHendler, Danny BGUIsrael Committee Member in Program Committee for PPoPP 2021
Maurice HerlihyHerlihy, Maurice Brown UniversityUnited States Atomicity without Trust
Maicon HieronymusHieronymus, Maicon Johannes Gutenberg-University MainzGermany Committee Member in Artifact Evaluation Committee for PPoPP 2021
Loc HoangHoang, Loc University of Texas at Austin, USA Committee Member in Artifact Evaluation Committee for PPoPP 2021
Torsten HoeflerHoefler, Torsten ETH Zurich POSTER: On the Parallel I/O Optimality of Linear Algebra Kernels: Near-Optimal LU Factorization Extracting Clean Performance Models from Tainted Programs
Tony HoskingHosking, Tony Australian National University / Data61Australia Committee Member in Program Committee for PPoPP 2021
Jianqiang HuangHuang, Jianqiang Tsinghua University POSTER: DFOGraph: An I/O- and Communication-Efficient System for Distributed Fully-out-of-Core Graph Processing
Kezhao HuangHuang, Kezhao Tsinghua University Understanding and Bridging the Gaps in Current GNN Performance Optimizations
Wen-mei HwuHwu, Wen-mei University of Illinois at Urbana-Champaign POSTER: FFT Blitz: The Tensor Cores Strike Back
I Shady IssaIssa, Shady INESC-ID Investigating the Semantics of Futures in Transactional Memory Systems
Shintaro IwasakiIwasaki, Shintaro Argonne National LaboratoryUnited States Lightweight Preemptive User-Level Threads
J Zhihao JiaJia, Zhihao Carnegie Mellon University Scaling Implicit Parallelism via Dynamic Control Replication
Sian JinJin, Sian Washington State University POSTER: A Novel Memory-Efficient Deep Learning Training Framework via Error-Bounded Lossy Compression
Hans JohansenJohansen, Hans Lawrence Berkeley National Laboratory Improving Communication by Optimizing On-Node Data Movement with Data Layout
Keyur JoshiJoshi, Keyur University of Illinois at Urbana-ChampaignUnited States ApproxTuner: A Compiler and Runtime System for Adaptive Approximations
Changhee JungJung, Changhee Purdue UniversityUnited States Committee Member in Program Committee for PPoPP 2021 Finance Chair in Organizing Committee for PPoPP 2021
Wookeun JungJung, Wookeun Seoul National University Web Chair in Organizing Committee for PPoPP 2021
K Mahmut Taylan KandemirKandemir, Mahmut Taylan Penn State University, USAUnited States Committee Member in External Review Committee for PPoPP 2021 Compiler Support for Near Data Computing
Ram KannanKannan, Ram Yugabyte Inc.United States Committee Member in Artifact Evaluation Committee for PPoPP 2021
Giorgos KappesKappes, Giorgos University of Ioannina POSTER: A Lock-free Relaxed Concurrent Queue for Fast Work Distribution
Mustafa KarakoyKarakoy, Mustafa TUBITAK-BILGEM, Turkey Compiler Support for Near Data Computing
Idit KeidarKeidar, Idit TechnionIsrael Committee Member in External Review Committee for PPoPP 2021
Jungwon KimKim, Jungwon Oak Ridge National LaboratoryUnited States Publications Chair in Organizing Committee for PPoPP 2021
Nam Sung KimKim, Nam Sung University of Illinois at Urbana-Champaign A Journey to a Commercial-Grade Function-In-Memory (FIM) Chip Development
Keiji KimuraKimura, Keiji Waseda University Committee Member in External Review Committee for PPoPP 2021
Fredrik KjolstadKjolstad, Fredrik Stanford UniversityUnited States Committee Member in Program Committee for PPoPP 2021
Alex KoganKogan, Alex Oracle LabsUnited States Committee Member in Program Committee for PPoPP 2021
Akash KothariKothari, Akash University of Illinois at Urbana Champaign ApproxTuner: A Compiler and Runtime System for Adaptive Approximations
Maria KotsifakouKotsifakou, Maria Runtime Verification, Inc. ApproxTuner: A Compiler and Runtime System for Adaptive Approximations
Mark W. KrentelKrentel, Mark W. Rice University Parallel Binary Code Analysis
Jyothi Krishna V SKrishna V S, Jyothi IIT MadrasIndia Committee Member in Artifact Evaluation Committee for PPoPP 2021
Milind KulkarniKulkarni, Milind Purdue UniversityUnited States Committee Member in Program Committee for PPoPP 2021
Tahsin KurcKurc, Tahsin Stony Brook University POSTER: In-situ Workflow Auto-tuning through Combining Component Models
Grzegorz KwasniewskiKwasniewski, Grzegorz ETH Zurich POSTER: On the Parallel I/O Optimality of Linear Algebra Kernels: Near-Optimal LU Factorization
L James LarusLarus, James EPFL Committee Member in External Review Committee for PPoPP 2021
Doug LeaLea, Doug State University of New York (SUNY) OswegoUnited States Committee Member in External Review Committee for PPoPP 2021
I-Ting Angelina LeeLee, I-Ting Angelina Washington University in St. Louis Committee Member in Program Committee for PPoPP 2021
Jaejin LeeLee, Jaejin Seoul National UniversitySouth Korea General Chair in Organizing Committee for PPoPP 2021
Wonchan LeeLee, Wonchan NVIDIA Scaling Implicit Parallelism via Dynamic Control Replication
Ang LiLi, Ang Pacific Northwest National LaboratoryUnited States Committee Member in Program Committee for PPoPP 2021 Session Chair of Session 3. Graphs (part of PPoPP Main Conference)
Dong LiLi, Dong University of California, Merced Sparta: High-Performance, Element-Wise Sparse Tensor Contraction on Heterogeneous Memory
Guanpeng LiLi, Guanpeng University of Iowa POSTER: A Novel Memory-Efficient Deep Learning Training Framework via Error-Bounded Lossy Compression
Jiajia LiLi, Jiajia Pacific Northwest National Laboratory Sparta: High-Performance, Element-Wise Sparse Tensor Contraction on Heterogeneous Memory
Lingda LiLi, Lingda Brookhaven National Laboratory POSTER: An Efficient Uncertain Graph Processing Framework for Heterogeneous Architectures
Xiaohan LiLi, Xiaohan Tsinghua University POSTER: DFOGraph: An I/O- and Communication-Efficient System for Distributed Fully-out-of-Core Graph Processing
Xiaoye S. LiLi, Xiaoye S. Lawrence Berkeley National Laboratory GPTune: Multitask Learning for Autotuning Exascale Applications
Xueqi LiLi, Xueqi Committee Member in Artifact Evaluation Committee for PPoPP 2021
Zhifang LiLi, Zhifang East China Normal University ShadowVM: Accelerating Data Plane for Data Analytics with Bare Metal CPUs and GPUs
zhimin lili, zhimin Understanding a Program's Resiliency Through Error Propagation
Calvin LinLin, Calvin University of Texas at AustinUnited States A Fast Work-Efficient SSSP Algorithm for GPUs
Wei LinLin, Wei Alibaba Group DAPPLE: A Pipelined Data Parallel Approach for Training Large Models
Jiawen LiuLiu, Jiawen University of California, Merced Sparta: High-Performance, Element-Wise Sparse Tensor Contraction on Heterogeneous Memory
Jinwei LiuLiu, Jinwei Beijing Jiaotong University Reasoning About Recursive Tree Traversals
Rui LiuLiu, Rui University of Chicago POSTER: An Efficient Uncertain Graph Processing Framework for Heterogeneous Architectures
Xiaoyong LiuLiu, Xiaoyong Alibaba Group DAPPLE: A Pipelined Data Parallel Approach for Training Large Models
Xu LiuLiu, Xu North Carolina State UniversityUnited States Artifact Evaluation Co-Chair in Artifact Evaluation Committee for PPoPP 2021 Artifact Evaluation Co-Chair in Organizing Committee for PPoPP 2021
Yang LiuLiu, Yang GPTune: Multitask Learning for Autotuning Exascale Applications
Zhengyang LiuLiu, Zhengyang University of Utah Synthesizing Optimal Collective Algorithms
Yarden LivantLivant, Yarden University of Utah Understanding a Program's Resiliency Through Error Propagation
Guoping LongLong, Guoping Alibaba Group DAPPLE: A Pipelined Data Parallel Approach for Training Large Models
Geoff LowneyLowney, Geoff Intel Committee Member in External Review Committee for PPoPP 2021
Roberto Castañeda LozanoLozano, Roberto Castañeda University of Edinburgh Modernizing Parallel Code with Pattern Analysis
Andrew LumsdaineLumsdaine, Andrew Northwest Institute for Advanced ComputingGermany Committee Member in Program Committee for PPoPP 2021
Xi LuoLuo, Xi SLAC National Accelerator LaboratoryUnited States Committee Member in Artifact Evaluation Committee for PPoPP 2021
M Saeed MalekiMaleki, Saeed Microsoft ResearchUnited States Committee Member in External Review Committee for PPoPP 2021 Session Chair of Session 5. Auto Tuning (part of PPoPP Main Conference) Synthesizing Optimal Collective Algorithms
Sepideh MalekiMaleki, Sepideh The University of Texas at Austin BiPart: A Parallel and Deterministic Hypergraph Partitioner
Filippo MantovaniMantovani, Filippo Barcelona Supercomputing Center Efficiently Running SpMV on Long Vector Architectures
Virendra MaratheMarathe, Virendra Oracle LabsUnited States Committee Member in External Review Committee for PPoPP 2021
Marcos MaroñasMaroñas, Marcos Barcelona Supercomputing Center Advanced Synchronization Techniques for Task-based Runtime Systems
Osni MarquesMarques, Osni Lawrence Berkeley National Laboratory GPTune: Multitask Learning for Autotuning Exascale Applications
Ali MashtizadehMashtizadeh, Ali University of Waterloo NBR: Neutralization Based Reclamation
Aristeidis MastorasMastoras, Aristeidis Huawei Zurich Research CenterSwitzerland Committee Member in Artifact Evaluation Committee for PPoPP 2021
Patrick McCormickMcCormick, Patrick Los Alamos National Laboratory Scaling Implicit Parallelism via Dynamic Control Replication
John Mellor-CrummeyMellor-Crummey, John Rice UniversityUnited States Parallel Binary Code Analysis
Gabriele MencagliMencagli, Gabriele University of Pisa Committee Member in Program Committee for PPoPP 2021
Chang MengMeng, Chang Emory University GPTune: Multitask Learning for Autotuning Exascale Applications
Chen MengMeng, Chen Alibaba Group DAPPLE: A Pipelined Data Parallel Approach for Training Large Models
Xiaozhu MengMeng, Xiaozhu Rice University Parallel Binary Code Analysis
Harshitha MenonMenon, Harshitha Lawrence Livermore National Laboratory Understanding a Program's Resiliency Through Error Propagation
Srđan MilakovićMilaković, Srđan Rice University Parallel Binary Code Analysis
Barton P. MillerMiller, Barton P. University of Wisconsin - Madison Parallel Binary Code Analysis
Sasa MisailovicMisailovic, Sasa University of Illinois at Urbana-Champaign ApproxTuner: A Compiler and Runtime System for Adaptive Approximations
Neeraj MittalMittal, Neeraj The University of Texas at Dallas POSTER: On Group Mutual Exclusion for Dynamic Systems
Daniel MlakarMlakar, Daniel Graz University of Technology Are Dynamic Memory Managers on GPUs Slow? A Survey and Benchmarks
Kathryn MohrorMohror, Kathryn Lawrence Livermore National Laboratory Understanding a Program's Resiliency Through Error Propagation
Shouvick MondalMondal, Shouvick IIT Madras, IndiaIndia Committee Member in Artifact Evaluation Committee for PPoPP 2021
Adam MorrisonMorrison, Adam Tel Aviv UniversityIsrael Committee Member in Program Committee for PPoPP 2021 Session Chair of Session 6. Posters 1 (part of PPoPP Main Conference) Efficiently Reclaiming Memory in Concurrent Search Data Structures While Bounding Wasted Memory
Frank MuellerMueller, Frank North Carolina State University Committee Member in External Review Committee for PPoPP 2021
Karthik Srinivasa MurthyMurthy, Karthik Srinivasa Stanford University Committee Member in Artifact Evaluation Committee for PPoPP 2021
Madan MusuvathiMusuvathi, Madan Microsoft Research Committee Member in Program Committee for PPoPP 2021 Synthesizing Optimal Collective Algorithms Chat with Researchers from Microsoft
Todd MytkowiczMytkowicz, Todd Microsoft ResearchUnited States Committee Member in Program Committee for PPoPP 2021 Session Chair of Session 7. Posters 2 (part of PPoPP Main Conference) Synthesizing Optimal Collective Algorithms
N Rupesh NasreNasre, Rupesh IIT Madras, India Committee Member in Program Committee for PPoPP 2021
Jacob NelsonNelson, Jacob Lehigh University POSTER: Bundled References: An Abstraction for Highly-Concurrent Linearizable Range Queries
Jacob NelsonNelson, Jacob Synthesizing Optimal Collective Algorithms
Dimitrios NikolopoulosNikolopoulos, Dimitrios Virginia TechUnited States Committee Member in Program Committee for PPoPP 2021
Boyana NorrisNorris, Boyana University of OregonUnited States Committee Member in Program Committee for PPoPP 2021
O Cosmin OanceaOancea, Cosmin University of CopenhagenDenmark Committee Member in External Review Committee for PPoPP 2021
Kaiming OuyangOuyang, Kaiming Committee Member in Artifact Evaluation Committee for PPoPP 2021
P David PaduaPadua, David University of Illinois at Urbana-ChampaignUnited States Committee Member in Program Committee for PPoPP 2021
Roberto PalmieriPalmieri, Roberto Lehigh University POSTER: Bundled References: An Abstraction for Highly-Concurrent Linearizable Range Queries
Manolis PapadakisPapadakis, Manolis NVIDIAUnited States Scaling Implicit Parallelism via Dynamic Control Replication
Marina PapatriantafilouPapatriantafilou, Marina Chalmers University of TechnologySweden Committee Member in Program Committee for PPoPP 2021
Mathias PargerParger, Mathias Graz University of Technology Are Dynamic Memory Managers on GPUs Slow? A Survey and Benchmarks
Valerio PascucciPascucci, Valerio University of Utah Understanding a Program's Resiliency Through Error Propagation
Onkar PatilPatil, Onkar NCSUUnited States Committee Member in Artifact Evaluation Committee for PPoPP 2021
Erez PetrankPetrank, Erez TechnionIsrael Program Chair in Program Committee for PPoPP 2021 PC Chair in Organizing Committee for PPoPP 2021 Session Chair of Keynote 1 (part of PPoPP Main Conference)
Keshav PingaliPingali, Keshav The University of Texas at Austin Committee Member in Program Committee for PPoPP 2021 BiPart: A Parallel and Deterministic Hypergraph Partitioner
Behnam PourghassemiPourghassemi, Behnam University of California, IrvineUnited States Committee Member in Artifact Evaluation Committee for PPoPP 2021
Manuel PöterPöter, Manuel TU Wien, Austria POSTER: A more Pragmatic Implementation of the Lock-free, Ordered, Linked List
Q Shaz QadeerQadeer, Shaz Novi, USAUnited States Committee Member in Program Committee for PPoPP 2021
Wei QinQin, Wei Tsinghua University POSTER: DFOGraph: An I/O- and Communication-Efficient System for Distributed Fully-out-of-Core Graph Processing
Xiaokang QiuQiu, Xiaokang Purdue University Reasoning About Recursive Tree Traversals
R Pedro RamalheteRamalhete, Pedro Cisco SystemsSwitzerland Committee Member in Program Committee for PPoPP 2021 OrcGC: Automatic Lock-Free Memory Reclamation Efficient Algorithms for Persistent Transactional Memory
Lawrence RauchwergerRauchwerger, Lawrence Texas A&M University Committee Member in External Review Committee for PPoPP 2021
Lawrence RauchwergerRauchwerger, Lawrence UIUC POSTER: FFT Blitz: The Tensor Cores Strike Back
Jie RenRen, Jie University of California, Merced Sparta: High-Performance, Element-Wise Sparse Tensor Contraction on Heterogeneous Memory
Aleix RocaRoca, Aleix Barcelona Supercomputing Center Advanced Synchronization Techniques for Task-based Runtime Systems
Luis RodriguesRodrigues, Luis INESC-ID, IST, ULisboaPortugal Investigating the Semantics of Futures in Transactional Memory Systems
Paolo RomanoRomano, Paolo INESC-ID / IST, ULisboa Investigating the Semantics of Futures in Transactional Memory Systems
Yi RongRong, Yi Alibaba Group DAPPLE: A Pipelined Data Parallel Approach for Training Large Models
Adones RukundoRukundo, Adones Chalmers University of TechnologySweden Committee Member in Artifact Evaluation Committee for PPoPP 2021
Eric RuppertRuppert, Eric York University, Canada Committee Member in Program Committee for PPoPP 2021 Constant-Time Snapshots with Applications to Concurrent Data Structures
Jihyun RyooRyoo, Jihyun Penn State University, USA Compiler Support for Near Data Computing
S Olli SaarikiviSaarikivi, Olli Microsoft Research, RedmondUnited States Committee Member in External Review Committee for PPoPP 2021 Synthesizing Optimal Collective Algorithms
Konstantinos (Kostis) SagonasSagonas, Konstantinos (Kostis) Uppsala University and National Technical University of AthensSweden Committee Member in External Review Committee for PPoPP 2021 Session Chair of Session 1. Concurrency (part of PPoPP Main Conference)
Kevin SalaSala, Kevin Barcelona Supercomputing Center Advanced Synchronization Techniques for Task-based Runtime Systems
Peter SandersSanders, Peter Karlsruhe KIT Committee Member in External Review Committee for PPoPP 2021
Yasmin SaritaSarita, Yasmin Cornell University ApproxTuner: A Compiler and Runtime System for Adaptive Approximations
Vivek SarkarSarkar, Vivek Georgia Institute of TechnologyUnited States An Ownership Policy and Deadlock Detector for Promises
Timo SchneiderSchneider, Timo ETH Zurich POSTER: On the Parallel I/O Optimality of Linear Algebra Kernels: Near-Optimal LU Factorization
Ben SchreiberSchreiber, Ben University of Illinois at Urbana Champaign ApproxTuner: A Compiler and Runtime System for Adaptive Approximations
Martin SchulzSchulz, Martin Technical University of Munich Committee Member in Program Committee for PPoPP 2021
Koushik SenSen, Koushik University of California, Berkeley Committee Member in External Review Committee for PPoPP 2021
Hashim SharifSharif, Hashim University of Illinois at Urbana Champaign ApproxTuner: A Compiler and Runtime System for Adaptive Approximations
Xipeng ShenShen, Xipeng North Carolina State UniversityUnited States Committee Member in Program Committee for PPoPP 2021 Understanding and Bridging the Gaps in Current GNN Performance Optimizations POSTER: Exploring Deep Reuse in Winograd CNN Inference
Shumpei ShiinaShiina, Shumpei The University of Tokyo Lightweight Preemptive User-Level Threads
Galen ShipmanShipman, Galen Los Alamos National Laboratory Scaling Implicit Parallelism via Dynamic Control Replication
Tong ShuShu, Tong Southern Illinois University Carbondale POSTER: In-situ Workflow Auto-tuning through Combining Component Models
Min SiSi, Min Argonne National LaboratoryUnited States Committee Member in External Review Committee for PPoPP 2021 POSTER: Dynamic Scaling for Low-Precision Learning
Wissam M. Sid-LakhdarSid-Lakhdar, Wissam M. Lawrence Berkeley National Laboratory GPTune: Multitask Learning for Autotuning Exascale Applications
Mark SilbersteinSilberstein, Mark Technion Committee Member in External Review Committee for PPoPP 2021
Ajay SinghSingh, Ajay University of Waterloo NBR: Neutralization Based Reclamation
Somesh SinghSingh, Somesh Indian Institute of Technology, MadrasIndia Committee Member in Artifact Evaluation Committee for PPoPP 2021
Elliott SlaughterSlaughter, Elliott SLAC National Accelerator Laboratory Committee Member in Program Committee for PPoPP 2021 Scaling Implicit Parallelism via Dynamic Control Replication
Daniel SolomonSolomon, Daniel Tel Aviv University Efficiently Reclaiming Memory in Concurrent Search Data Structures While Bounding Wasted Memory
Shuaiwen Leon SongSong, Shuaiwen Leon University of Sydney POSTER: A Novel Memory-Efficient Deep Learning Training Framework via Error-Bounded Lossy Compression POSTER: An Efficient Uncertain Graph Processing Framework for Heterogeneous Architectures
Shuang SongSong, Shuang Facebook Inc. POSTER: An Efficient Uncertain Graph Processing Framework for Heterogeneous Architectures
Markus SteinbergerSteinberger, Markus Graz University of Technology Are Dynamic Memory Managers on GPUs Slow? A Survey and Benchmarks
Michelle StroutStrout, Michelle University of ArizonaUnited States Committee Member in External Review Committee for PPoPP 2021
Charalampos StylianopoulosStylianopoulos, Charalampos Chalmers University of TechnologySweden Committee Member in Artifact Evaluation Committee for PPoPP 2021
Pengfei SuSu, Pengfei University of California, MercedUnited States Committee Member in Artifact Evaluation Committee for PPoPP 2021
Yihan SunSun, Yihan University of California, Riverside Constant-Time Snapshots with Applications to Concurrent Data Structures
Zhenbo SunSun, Zhenbo Tsinghua University POSTER: DFOGraph: An I/O- and Communication-Efficient System for Distributed Fully-out-of-Core Graph Processing
Zehra SuraSura, Zehra BloombergUnited States Publicity Co-Chair (America) in Organizing Committee for PPoPP 2021
T Cheng TanTan, Cheng PNNL Committee Member in Artifact Evaluation Committee for PPoPP 2021
Guangming TanTan, Guangming Institute of Computing Technology, Chinese Academy of Sciences Committee Member in Program Committee for PPoPP 2021 I/O Lower Bounds for Auto-tuning of Convolutions in CNNs
Xulong TangTang, Xulong University of Pittsburgh, USA Compiler Support for Near Data Computing
Dingwen TaoTao, Dingwen Washington State UniversityUnited States POSTER: A Novel Memory-Efficient Deep Learning Training Framework via Error-Bounded Lossy Compression POSTER: An Efficient Uncertain Graph Processing Framework for Heterogeneous Architectures
Kenjiro TauraTaura, Kenjiro The University of Tokyo Lightweight Preemptive User-Level Threads
Tuan TranTran, Tuan University of California, Santa CruzUnited States Committee Member in Artifact Evaluation Committee for PPoPP 2021
Jesper TräffTräff, Jesper TU Wien, Austria Committee Member in External Review Committee for PPoPP 2021 POSTER: A more Pragmatic Implementation of the Lock-free, Ordered, Linked List
Philippas TsigasTsigas, Philippas Chalmers University of Technology Committee Member in External Review Committee for PPoPP 2021
V Viktor VafeiadisVafeiadis, Viktor MPI-SWSGermany Committee Member in External Review Committee for PPoPP 2021
Jeffrey VetterVetter, Jeffrey Oak Ridge National LaboratoryUnited States Committee Member in Program Committee for PPoPP 2021
Caleb VossVoss, Caleb Georgia Institute of TechnologyUnited States An Ownership Policy and Deadlock Detector for Promises
W Bei WangWang, Bei Peking University, China POSTER: Extending MapReduce Framework with Locality Keys
Elizabeth WangWang, Elizabeth University of Illinois at Urbana Champaign ApproxTuner: A Compiler and Runtime System for Adaptive Approximations
Kai WangWang, Kai University of Texas at Austin A Fast Work-Efficient SSSP Algorithm for GPUs
Siyu WangWang, Siyu Alibaba Group DAPPLE: A Pipelined Data Parallel Approach for Training Large Models
Wei WangWang, Wei Hong Kong University of Science and Technology POSTER: Simplifying Low-Level GPU Programming with GAS
Xiaolin WangWang, Xiaolin Peking University, ChinaChina POSTER: Extending MapReduce Framework with Locality Keys
Yanjun WangWang, Yanjun Purdue University Reasoning About Recursive Tree Traversals
Yuke WangWang, Yuke UC Santa Barbara EGEMM-TC: Accelerating Scientific Computing on Tensor Cores with Extended Precision
Yuanhao WeiWei, Yuanhao Carnegie Mellon University Constant-Time Snapshots with Applications to Concurrent Data Structures
Chuliang WengWeng, Chuliang East China Normal University ShadowVM: Accelerating Data Plane for Data Analytics with Bare Metal CPUs and GPUs
Nicolas WickiWicki, Nicolas ETH Zurich Extracting Clean Performance Models from Tainted Programs
Samuel WilliamsWilliams, Samuel Lawrence Berkeley National Laboratory Improving Communication by Optimizing On-Node Data Movement with Data Layout
Martin WinterWinter, Martin Graz University of Technology Are Dynamic Memory Managers on GPUs Slow? A Survey and Benchmarks
Felix WolfWolf, Felix TU Darmstadt Extracting Clean Performance Models from Tainted Programs
Justin WozniakWozniak, Justin Argonne National Laboratory POSTER: In-situ Workflow Auto-tuning through Combining Component Models
Chuan WuWu, Chuan The University of Hong Kong DAPPLE: A Pipelined Data Parallel Approach for Training Large Models
Ruofan WuWu, Ruofan Renmin University of China POSTER: Exploring Deep Reuse in Winograd CNN Inference
Shangwei WuWu, Shangwei East China Normal University ShadowVM: Accelerating Data Plane for Data Analytics with Bare Metal CPUs and GPUs
Yanjun WuWu, Yanjun Institute of Software, Chinese Academy of Sciences POSTER: An Efficient Uncertain Graph Processing Framework for Heterogeneous Architectures
X LiXue XiaXia, LiXue Alibaba Group DAPPLE: A Pipelined Data Parallel Approach for Training Large Models
Junmin XiaoXiao, Junmin Institute of Computing Technology, Chinese Academy of Sciences I/O Lower Bounds for Auto-tuning of Convolutions in CNNs
Yuan XieXie, Yuan UCSB EGEMM-TC: Accelerating Scientific Computing on Tensor Cores with Extended Precision
Y Da YanYan, Da Hong Kong University of Science and Technology POSTER: Simplifying Low-Level GPU Programming with GAS
Jun YangYang, Jun Alibaba Group DAPPLE: A Pipelined Data Parallel Approach for Training Large Models
Katherine YelickYelick, Katherine University of California at Berkeley & Lawrence Berkeley National Lab POSTER: Asynchrony versus Bulk-Synchrony for a Generalized N-body Problem from Genomics
Youngmin YiYi, Youngmin University of Seoul Understanding and Bridging the Gaps in Current GNN Performance Optimizations
Yang YouYou, Yang UC Berkeley POSTER: Dynamic Scaling for Low-Precision Learning
Jiping YuYu, Jiping Tsinghua University POSTER: DFOGraph: An I/O- and Communication-Efficient System for Distributed Fully-out-of-Core Graph Processing
Yang YuYu, Yang TurboTransformers: An Efficient GPU Serving System For Transformer Models
Z Jingna ZengZeng, Jingna KTH Royal Institute of Technology, Sweden / IST, ULisboa Investigating the Semantics of Futures in Transactional Memory Systems
Jidong ZhaiZhai, Jidong Tsinghua University Committee Member in Program Committee for PPoPP 2021 Publicity Co-Chair (Asia) in Organizing Committee for PPoPP 2021 Understanding and Bridging the Gaps in Current GNN Performance Optimizations
Chris ZhangZhang, Chris Committee Member in Artifact Evaluation Committee for PPoPP 2021
Dalin ZhangZhang, Dalin Beijing Jiaotong University Reasoning About Recursive Tree Traversals
Eddy (Zheng) ZhangZhang, Eddy (Zheng) Rutgers Committee Member in Program Committee for PPoPP 2021
Feng ZhangZhang, Feng Renmin University of China POSTER: Exploring Deep Reuse in Winograd CNN Inference
Heng ZhangZhang, Heng Institute of Software, Chinese Academy of Sciences; University of Sydney POSTER: An Efficient Uncertain Graph Processing Framework for Heterogeneous Architectures
Wei ZhangZhang, Wei Committee Member in Artifact Evaluation Committee for PPoPP 2021
Weifeng ZhangZhang, Weifeng Alibaba Group US Inc. EGEMM-TC: Accelerating Scientific Computing on Tensor Cores with Extended Precision
Xiaoyang ZhangZhang, Xiaoyang Institute of Computing Technology, Chinese Academy of Sciences I/O Lower Bounds for Auto-tuning of Convolutions in CNNs
Chengduo ZhaoZhao, Chengduo Tencent TurboTransformers: An Efficient GPU Serving System For Transformer Models
Nathan ZhaoZhao, Nathan University of Illinois at Urbana-Champaign ApproxTuner: A Compiler and Runtime System for Adaptive Approximations
Tuowen ZhaoZhao, Tuowen University of Utah Improving Communication by Optimizing On-Node Data Movement with Data Layout
Yifan ZhaoZhao, Yifan University of Illinois at Urbana Champaign ApproxTuner: A Compiler and Runtime System for Adaptive Approximations
Zhen ZhengZheng, Zhen Alibaba Group Understanding and Bridging the Gaps in Current GNN Performance Optimizations POSTER: Exploring Deep Reuse in Winograd CNN Inference DAPPLE: A Pipelined Data Parallel Approach for Training Large Models
Jie ZhouZhou, Jie Tencent TurboTransformers: An Efficient GPU Serving System For Transformer Models
Xiaowei ZhuZhu, Xiaowei Tsinghua University POSTER: DFOGraph: An I/O- and Communication-Efficient System for Distributed Fully-out-of-Core Graph Processing
Xinran ZhuZhu, Xinran Cornell University GPTune: Multitask Learning for Autotuning Exascale Applications
Donglin ZhuangZhuang, Donglin University of Sydney POSTER: An Efficient Uncertain Graph Processing Framework for Heterogeneous Architectures
Alexandros Nikolaos ZiogasZiogas, Alexandros Nikolaos ETH Zurich POSTER: On the Parallel I/O Optimality of Linear Algebra Kernels: Near-Optimal LU Factorization
Á David ÁlvarezÁlvarez, David Barcelona Supercomputing Center Advanced Synchronization Techniques for Task-based Runtime Systems