CGO 2022 (series) / Main Conference / A Compiler Framework for Optimizing Dynamic Parallelism on GPUs
A Compiler Framework for Optimizing Dynamic Parallelism on GPUs
Mon 4 Apr 2022 10:20 - 10:35 - Session #1: GPU Chair(s): Madan Musuvathi
Mon 4 AprDisplayed time zone: Eastern Time (US & Canada) change
Mon 4 Apr
Displayed time zone: Eastern Time (US & Canada) change
10:20 - 11:20 | |||
10:20 15mTalk | A Compiler Framework for Optimizing Dynamic Parallelism on GPUs Main Conference Mhd Ghaith Olabi American University of Beirut, Juan Gómez Luna ETH Zurich, Onur Mutlu ETH Zurich, Wen-mei Hwu University of Illinois at Urbana-Champaign, Izzat El Hajj American University of Beirut Link to publication | ||
10:35 15mTalk | Automatic Horizontal Fusion for GPU Kernels Main Conference Ao Li Carnegie Mellon University, Bojian Zheng University of Toronto, Gennady Pekhimenko University of Toronto / Vector Institute, Fan Long University of Toronto, Canada Link to publication | ||
10:50 15mTalk | DARM: Control-Flow Melding for SIMT Thread Divergence Reduction Main Conference Charitha Saumya Purdue University, Kirshanthan Sundararajah Purdue University, Milind Kulkarni Purdue University Link to publication | ||
11:05 15mTalk | Efficient Execution of OpenMP on GPUs Main Conference Joseph Huber Oak Ridge National Laboratory, Melanie Cornelius Illinois Institute of Technology, Giorgis Georgakoudis Lawrence Livermore National Laboratory, Shilei Tian Stony Brook University, JoseM Monsalve Diaz Argonne National Laboratory, Kuter Dinel Düzce University, Barbara Chapman Stony Brook University, Johannes Doerfert Argonne National Laboratory Link to publication | ||