CC 2022
31st ACM SIGPLAN International Conference on Compiler Construction (CC 2022)

Title Page

Welcome from the Chairs

CC 2022 Conference Organization

Sponsors of CC 2022

Report from the Artifact Evaluation Committee

Writing and Verifying a Quantum Optimizing Compiler (Keynote)
Robert Rand 
(University of Chicago, USA)

Publisher's Version

QSSA: An SSA-Based IR for Quantum Computing
Anurudh Peduri , Siddharth Bhat, and Tobias Grosser 
(IIIT Hyderabad, India; University of Edinburgh, UK)

Publisher's Version Published Artifact Artifacts Available Artifacts Reusable Results Reproduced

QRANE: Lifting QASM Programs to an Affine IR
Blake Gerard, Tobias Grosser , and Martin Kong
(University of Oklahoma, USA; University of Edinburgh, UK)

Publisher's Version Published Artifact Artifacts Available Artifacts Reusable

A Polynomial Time Exact Solution to the Bit-Aware Register Binding Problem
Michael Canesche , Ricardo Ferreira, José Augusto Nacif, and Fernando Magno Quintão Pereira 
(Federal University of Minas Gerais, Brazil; Federal University of Viçosa, Brazil)

Publisher's Version

Graph Transformations for Register-Pressure-Aware Instruction Scheduling
Ghassan Shobaki , Justin Bassett , Mark Heffernan , and Austin Kerbow 
(California State University at Sacramento, USA; Google, USA)

Publisher's Version

Caviar: An E-Graph Based TRS for Automatic Code Optimization
Smail Kourta , Adel Abderahmane Namani , Fatima Benbouzid-Si Tayeb , Kim Hazelwood , Chris Cummins, Hugh Leather , and Riyadh Baghdadi 
(NYU Abu Dhabi, United Arab Emirates; École nationale supérieure d'informatique, Algeria; Meta AI, USA)

Publisher's Version Info

On the Computation of Interprocedural Weak Control Closure
Abu Naser Masud  and Björn Lisper 
(Mälardalen University, Sweden)

Publisher's Version

Seamless Deductive Inference via Macros
Arash Sahebolamri , Thomas Gilray, and Kristopher Micinski 
(Syracuse University, USA; University of Alabama at Birmingham, USA)

Publisher's Version Published Artifact Info Artifacts Available Artifacts Reusable Results Reproduced

One-Shot Tuner for Deep Learning Compilers
Jaehun Ryu , Eunhyeok Park , and Hyojin Sung 
(POSTECH, South Korea)

Publisher's Version Published Artifact Artifacts Available Artifacts Functional

Training of Deep Learning Pipelines on Memory-Constrained GPUs via Segmented Fused-Tiled Execution
Yufan Xu , Saurabh Raje , Atanas Rountev , Gerald Sabin , Aravind Sukumaran-Rajam , and P. Sadayappan 
(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 
(Indian Institute of Science, India; PolyMage Labs, India)

Publisher's Version

Automating Reinforcement Learning Architecture Design for Code Optimization
Huanting Wang , Zhanyong Tang, Cheng Zhang, Jiaqi Zhao, Chris Cummins, Hugh Leather , and Zheng Wang 
(NorthWest University, China; University of Leeds, UK; Meta AI, USA)

Publisher's Version Published Artifact Artifacts Available Artifacts Reusable Results Reproduced

Memory Access Scheduling to Reduce Thread Migrations
Sana Damani, Prithayan Barua, and Vivek Sarkar
(Georgia Institute of Technology, USA)

Publisher's Version

Performant Portable OpenMP
Guray Ozen  and Michael Wolfe
(NVIDIA, Germany; NVIDIA, USA)

Publisher's Version Info

BinPointer: Towards Precise, Sound, and Scalable Binary-Level Pointer Analysis
Sun Hyoung Kim, Dongrui Zeng, Cong Sun , and Gang Tan 
(Pennsylvania State University, USA; Xidian University, China)

Publisher's Version

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)

Publisher's Version

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)

Publisher's Version Published Artifact Info Artifacts Available Artifacts Functional

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)

Publisher's Version

Mapping Parallelism in a Functional IR through Constraint Satisfaction: A Case Study on Convolution for Mobile GPUs
Naums Mogers , Lu Li, Valentin Radu, and Christophe Dubach 
(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)

Publisher's Version

Efficient Profile-Guided Size Optimization for Native Mobile Applications
Kyungwoo Lee , Ellis Hoag , and Nikolai Tillmann 
(Meta, USA)

Publisher's Version