MAPS 2021 Contributors

Sun 20 - Fri 25 June 2021 PLDI

co-located with PLDI 2021

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Results (42)

A Aws AlbarghouthiAlbarghouthi, Aws University of Wisconsin-Madison, USA Publicity Chair in Organizing Committee within the MAPS-track
Farhana AleenAleen, Farhana NVIDIA Committee Member in Program Committee within the MAPS-track
B Michael Bedford TaylorBedford Taylor, Michael University of Washington Pure, Low-Level Tensor Program Rewriting via Access Patterns (Representation Pearl)
C Michael CarbinCarbin, Michael Massachusetts Institute of Technology Engineering Uncertain Computations
Luis CezeCeze, Luis University of WashingtonUnited States Pure, Low-Level Tensor Program Rewriting via Access Patterns (Representation Pearl)
D Scott DavidsonDavidson, Scott University of Washington Pure, Low-Level Tensor Program Rewriting via Access Patterns (Representation Pearl)
Işıl DilligDillig, Işıl University of Texas at AustinUnited States Opening Remarks Program Chair in Organizing Committee within the MAPS-track
Dana Drachsler CohenDrachsler Cohen, Dana TechnionIsrael Committee Member in Program Committee within the MAPS-track
Dawn DrainDrain, Dawn Microsoft Generating Bug-Fixes Using Pretrained Transformers
G Justin GottschlichGottschlich, Justin Intel Labs / PennUnited States Closing remarks ControlFlag: A Self-supervised Idiosyncratic PatternDetection System for Software Control Structures Predictive Data Locality Optimization for Higher-Order Tensor Computations Steering Committee Chair in Organizing Committee within the MAPS-track
Vinod GroverGrover, Vinod NVIDIAUnited States Committee Member in Program Committee within the MAPS-track
H Mary HallHall, Mary University of Utah Predictive Data Locality Optimization for Higher-Order Tensor Computations
Niranjan HasabnisHasabnis, Niranjan Intel LabsUnited States ControlFlag: A Self-supervised Idiosyncratic PatternDetection System for Software Control Structures Committee Member in Program Committee within the MAPS-track
K Rania KhalafKhalaf, Rania IBM Research Committee Member in Program Committee within the MAPS-track
Abhishek KulkarniKulkarni, Abhishek Intel Predictive Data Locality Optimization for Higher-Order Tensor Computations
L Andrew LiuLiu, Andrew University of Washington Pure, Low-Level Tensor Program Rewriting via Access Patterns (Representation Pearl)
Steven LyubomirskyLyubomirsky, Steven University of Washington, USAUnited States Pure, Low-Level Tensor Program Rewriting via Access Patterns (Representation Pearl)
M Rahim MammadliMammadli, Rahim Technical University of Darmstadt Learning to Make Compiler Optimizations More Effective
Joseph McMahanMcMahan, Joseph University of WashingtonUnited States Pure, Low-Level Tensor Program Rewriting via Access Patterns (Representation Pearl)
Kuldeep S. MeelMeel, Kuldeep S. National University of Singapore Committee Member in Program Committee within the MAPS-track
Erik MeijerMeijer, Erik FacebookUnited States Committee Member in Program Committee within the MAPS-track
Sasa MisailovicMisailovic, Sasa University of Illinois at Urbana-ChampaignUnited States Committee Member in Program Committee within the MAPS-track
O Augustus OdenaOdena, Augustus Committee Member in Program Committee within the MAPS-track
P Tharindu PatabandiPatabandi, Tharindu University of Utah Predictive Data Locality Optimization for Higher-Order Tensor Computations
Phitchaya Mangpo PhothilimthanaPhothilimthana, Phitchaya Mangpo Google Machine Learning for Autotuning Production Machine Learning Compilers
Alex PolozovPolozov, Alex Microsoft ResearchUnited States Committee Member in Program Committee within the MAPS-track
Michael PradelPradel, Michael University of StuttgartGermany Learning to Make Compiler Optimizations More Effective
R Mukund RaghothamanRaghothaman, Mukund University of Southern California Interactively Exploring Code Using Query-by-Example
Pushkar RatnalikarRatnalikar, Pushkar Intel Labs Predictive Data Locality Optimization for Higher-Order Tensor Computations
Alex RatnerRatner, Alex University of Washington Committee Member in Program Committee within the MAPS-track
S Roopsha SamantaSamanta, Roopsha Purdue University Opening Remarks General Chair in Organizing Committee within the MAPS-track
Marija SelakovicSelakovic, Marija TU Darmstadt, Germany Learning to Make Compiler Optimizations More Effective
Koushik SenSen, Koushik University of California, Berkeley Automated Test Generation: A Journey from Symbolic Execution to Smart Fuzzing and Beyond
Calvin SmithSmith, Calvin University of Texas AustinUnited States Committee Member in Program Committee within the MAPS-track
Gus Henry SmithSmith, Gus Henry University of Washington Pure, Low-Level Tensor Program Rewriting via Access Patterns (Representation Pearl)
Neel SundaresanSundaresan, Neel Microsoft Corporation Generating Bug-Fixes Using Pretrained Transformers
Alexey SvyatkovskiySvyatkovskiy, Alexey MicrosoftUnited States Generating Bug-Fixes Using Pretrained Transformers
T Zachary TatlockTatlock, Zachary University of Washington, SeattleUnited States Pure, Low-Level Tensor Program Rewriting via Access Patterns (Representation Pearl)
Jesmin Jahan TithiTithi, Jesmin Jahan Intel Corporation, ACM-Selects, ACM COPE, Stony Brook University, USAUnited States Programme Committee in Organizing Committee within the MAPS-track
V Anand VenkatVenkat, Anand Predictive Data Locality Optimization for Higher-Order Tensor Computations
W Felix WolfWolf, Felix Technical University of Darmstadt Learning to Make Compiler Optimizations More Effective
Chen WuWu, Chen Microsoft, China Generating Bug-Fixes Using Pretrained Transformers