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ORCID20th CGO 2022: Seoul, South Korea
- Jae W. Lee, Sebastian Hack, Tatiana Shpeisman:
IEEE/ACM International Symposium on Code Generation and Optimization, CGO 2022, Seoul, Korea, Republic of, April 2-6, 2022. IEEE 2022, ISBN 978-1-6654-0584-3 - Siddharth Bhat, Tobias Grosser
:
Lambda the Ultimate SSA: Optimizing Functional Programs in SSA. 1-11 - Lukas Sommer, Cristian Axenie, Andreas Koch:
SPNC: An Open-Source MLIR-Based Compiler for Fast Sum-Product Network Inference on CPUs and GPUs. 1-11 - Minsu Kim, Jeong-Keun Park, Soo-Mook Moon:
Solving PBQP-Based Register Allocation using Deep Reinforcement Learning. 1-12 - Mhd Ghaith Olabi, Juan Gómez-Luna, Onur Mutlu, Wen-Mei Hwu, Izzat El Hajj:
A Compiler Framework for Optimizing Dynamic Parallelism on GPUs. 1-13 - Charitha Saumya, Kirshanthan Sundararajah, Milind Kulkarni:
DARM: Control-Flow Melding for SIMT Thread Divergence Reduction. 1-13 - Ao Li, Bojian Zheng, Gennady Pekhimenko, Fan Long:
Automatic Horizontal Fusion for GPU Kernels. 14-27 - Joseph Huber, Melanie Cornelius, Giorgis Georgakoudis, Shilei Tian, Jose Manuel Monsalve Diaz, Kuter Dinel, Barbara M. Chapman, Johannes Doerfert:
Efficient Execution of OpenMP on GPUs. 41-52 - Ajay Brahmakshatriya, Saman P. Amarasinghe:
GraphIt to CUDA Compiler in 2021 LOC: A Case for High-Performance DSL Implementation via Staging with BuilDSL. 53-65 - Joao Rivera, Franz Franchetti, Markus Püschel:
A Compiler for Sound Floating-Point Computations using Affine Arithmetic. 66-78 - Hannes Kallwies, Martin Leucker, Torben Scheffel, Malte Schmitz, Daniel Thoma:
Aggregate Update Problem for Multi-clocked Dataflow Languages. 79-91 - Chris Cummins, Bram Wasti, Jiadong Guo, Brandon Cui, Jason Ansel, Sahir Gomez, Somya Jain, Jia Liu, Olivier Teytaud, Benoit Steiner, Yuandong Tian, Hugh Leather:
CompilerGym: Robust, Performant Compiler Optimization Environments for AI Research. 92-105 - Nicolas Derumigny, Théophile Bastian, Fabian Gruber, Guillaume Iooss, Christophe Guillon, Louis-Noël Pouchet, Fabrice Rastello:
PALMED: Throughput Characterization for Superscalar Architectures. 106-117 - Sunghyun Park, Salar Latifi, Yongjun Park, Armand Behroozi, Byungsoo Jeon, Scott A. Mahlke:
SRTuner: Effective Compiler Optimization Customization by Exposing Synergistic Relations. 118-130 - Xudong Wang, Xuezheng Xu, Qingan Li, Mengting Yuan, Jingling Xue:
Recovering Container Class Types in C++ Binaries. 131-143 - Vaibhav Kiran Kurhe, Pratik Karia, Shubhani Gupta, Abhishek Rose, Sorav Bansal:
Automatic Generation of Debug Headers through BlackBox Equivalence Checking. 144-154 - Linan Tian, Yangyang Shi, Liwei Chen, Yanqi Yang, Gang Shi:
Gadgets Splicing: Dynamic Binary Transformation for Precise Rewriting. 155-167 - Angelo Matni, Enrico Armenio Deiana, Yian Su, Lukas Gross, Souradip Ghosh, Sotiris Apostolakis, Ziyang Xu, Zujun Tan, Ishita Chaturvedi, Brian Homerding, Tommy McMichen, David I. August, Simone Campanoni:
NOELLE Offers Empowering LLVM Extensions. 179-192 - Yongwoo Lee, Seonyeong Heo, Seonyoung Cheon, Shinnung Jeong, Changsu Kim, Eunkyung Kim, Dongyoon Lee, Hanjun Kim:
HECATE: Performance-Aware Scale Optimization for Homomorphic Encryption Compiler. 193-204 - Daniel Donenfeld, Stephen Chou, Saman P. Amarasinghe:
Unified Compilation for Lossless Compression and Sparse Computing. 205-216 - Rodrigo C. O. Rocha, Pavlos Petoumenos, Björn Franke, Pramod Bhatotia, Michael F. P. O'Boyle:
Loop Rolling for Code Size Reduction. 217-229 - Sean Stirling, Rodrigo C. O. Rocha, Kim M. Hazelwood, Hugh Leather, Michael F. P. O'Boyle, Pavlos Petoumenos:
F3M: Fast Focused Function Merging. 242-253 - Harishankar Vishwanathan, Matan Shachnai, Srinivas Narayana, Santosh Nagarakatte:
Sound, Precise, and Fast Abstract Interpretation with Tristate Numbers. 254-265 - Xuezheng Xu, Xudong Wang, Jingling Xue:
M3V: Multi-modal Multi-view Context Embedding for Repair Operator Prediction. 266-277 - Zifan Nan, Xipeng Shen, Hui Guan:
Enabling Near Real-Time NLU-Driven Natural Language Programming through Dynamic Grammar Graph-Based Translation. 278-289 - Ján Veselý, Raghavendra Pradyumna Pothukuchi, Ketaki Joshi, Samyak Gupta, Jonathan D. Cohen, Abhishek Bhattacharjee:
Distill: Domain-Specific Compilation for Cognitive Models. 301-312 - Cédric Bastoul, Zhen Zhang, Harenome Razanajato, Nelson Lossing, Adilla Susungi, Javier de Juan, Etienne Filhol, Baptiste Jarry, Gianpietro Consolaro, Renwei Zhang:
Optimizing GPU Deep Learning Operators with Polyhedral Scheduling Constraint Injection. 313-324 - Miheer Vaidya, Aravind Sukumaran-Rajam, Atanas Rountev, P. Sadayappan:
Comprehensive Accelerator-Dataflow Co-design Optimization for Convolutional Neural Networks. 325-335
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