CC 2022
31st ACM SIGPLAN International Conference on Compiler Construction (CC 2022)
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31st ACM SIGPLAN International Conference on Compiler Construction (CC 2022), April 02–03, 2022, Seoul, South Korea

CC 2022 – Proceedings

Contents - Abstracts - Authors

Frontmatter

Title Page
Welcome from the Chairs
CC 2022 Conference Organization
Sponsors of CC 2022
Report from the Artifact Evaluation Committee

Keynote

Writing and Verifying a Quantum Optimizing Compiler (Keynote)
Robert RandORCID logo
(University of Chicago, USA)
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Quantum Computing and Hardware Design

QSSA: An SSA-Based IR for Quantum Computing
Anurudh Peduri ORCID logo, Siddharth Bhat, and Tobias Grosser ORCID logo
(IIIT Hyderabad, India; University of Edinburgh, UK)
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QRANE: Lifting QASM Programs to an Affine IR
Blake Gerard, Tobias Grosser ORCID logo, and Martin Kong
(University of Oklahoma, USA; University of Edinburgh, UK)
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A Polynomial Time Exact Solution to the Bit-Aware Register Binding Problem
Michael Canesche, Ricardo Ferreira, José Augusto Nacif, and Fernando Magno Quintão Pereira ORCID logo
(Federal University of Minas Gerais, Brazil; Federal University of Viçosa, Brazil)
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Compiler Theory

Graph Transformations for Register-Pressure-Aware Instruction Scheduling
Ghassan Shobaki ORCID logo, Justin Bassett ORCID logo, Mark Heffernan ORCID logo, and Austin Kerbow ORCID logo
(California State University at Sacramento, USA; Google, USA)
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Caviar: An E-Graph Based TRS for Automatic Code Optimization
Smail Kourta ORCID logo, Adel Abderahmane Namani ORCID logo, Fatima Benbouzid-Si Tayeb ORCID logo, Kim Hazelwood ORCID logo, Chris Cummins, Hugh Leather ORCID logo, and Riyadh Baghdadi ORCID logo
(NYU Abu Dhabi, United Arab Emirates; École nationale supérieure d'informatique, Algeria; Meta AI, USA)
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On the Computation of Interprocedural Weak Control Closure
Abu Naser MasudORCID logo and Björn LisperORCID logo
(Mälardalen University, Sweden)
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Seamless Deductive Inference via Macros
Arash Sahebolamri ORCID logo, Thomas Gilray, and Kristopher Micinski ORCID logo
(Syracuse University, USA; University of Alabama at Birmingham, USA)
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Compilers and Machine Learning

One-Shot Tuner for Deep Learning Compilers
Jaehun Ryu ORCID logo, Eunhyeok ParkORCID logo, and Hyojin SungORCID logo
(POSTECH, South Korea)
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Training of Deep Learning Pipelines on Memory-Constrained GPUs via Segmented Fused-Tiled Execution
Yufan XuORCID logo, Saurabh RajeORCID logo, Atanas Rountev ORCID logo, Gerald Sabin ORCID logo, Aravind Sukumaran-Rajam ORCID logo, and P. Sadayappan ORCID logo
(University of Utah, USA; Ohio State University, USA; RNET Technologies, USA; Washington State University, USA)
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MLIR-Based Code Generation for GPU Tensor Cores
Navdeep Katel, Vivek Khandelwal, and Uday Bondhugula ORCID logo
(Indian Institute of Science, India; PolyMage Labs, India)
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Automating Reinforcement Learning Architecture Design for Code Optimization
Huanting Wang ORCID logo, Zhanyong Tang, Cheng Zhang, Jiaqi Zhao, Chris Cummins, Hugh Leather ORCID logo, and Zheng WangORCID logo
(NorthWest University, China; University of Leeds, UK; Meta AI, USA)
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Parallelism

Memory Access Scheduling to Reduce Thread Migrations
Sana Damani, Prithayan Barua, and Vivek Sarkar
(Georgia Institute of Technology, USA)
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Performant Portable OpenMP
Guray OzenORCID logo and Michael Wolfe
(NVIDIA, Germany; NVIDIA, USA)
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Safety and Correctness

BinPointer: Towards Precise, Sound, and Scalable Binary-Level Pointer Analysis
Sun Hyoung Kim, Dongrui Zeng, Cong Sun ORCID logo, and Gang TanORCID logo
(Pennsylvania State University, USA; Xidian University, China)
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Cape: Compiler-Aided Program Transformation for HTM-Based Cache Side-Channel Defense
Rui Zhang, Michael D. Bond, and Yinqian Zhang
(Ohio State University, USA; Southern University of Science and Technology, China)
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Making No-Fuss Compiler Fuzzing Effective
Alex Groce, Rijnard van Tonder, Goutamkumar Tulajappa Kalburgi, and Claire Le Goues
(Northern Arizona University, USA; Sourcegraph, USA; Carnegie Mellon University, USA)
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Performance Optimizations

Loner: Utilizing the CPU Vector Datapath to Process Scalar Integer Data
Armand Behroozi, Sunghyun Park, and Scott Mahlke
(University of Michigan, USA; NVIDIA Research, USA)
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Mapping Parallelism in a Functional IR through Constraint Satisfaction: A Case Study on Convolution for Mobile GPUs
Naums MogersORCID logo, Lu Li, Valentin Radu, and Christophe DubachORCID logo
(University of Edinburgh, UK; University of Sheffield, UK; McGill University, Canada)
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Software Pre-execution for Irregular Memory Accesses in the HBM Era
Sanyam Mehta, Gary Elsesser, and Terry Greyzck
(HPE, USA)
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Efficient Profile-Guided Size Optimization for Native Mobile Applications
Kyungwoo Lee ORCID logo, Ellis Hoag ORCID logo, and Nikolai Tillmann ORCID logo
(Meta, USA)
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