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