CC 2023 – Proceedings

Frontmatter

Vector and Parallelism

Java Vector API: Benchmarking and Performance Analysis
Matteo Basso, Andrea Rosà, Luca Omini, and Walter Binder
(USI Lugano, Lugano, Switzerland)

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Compiling Discrete Probabilistic Programs for Vectorized Exact Inference
Jingwen Pan and Amir Shaikhha
(University of Edinburgh, Edinburgh, UK)

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A Multi-threaded Fast Hardware Compiler for HDLs
Sheng-Hong Wang, Hunter James Coffman, Kenneth Mayer, Sakshi Garg, and Jose Renau
(University of California, Santa Cruz, USA)

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Scheduling and Tuning

Efficiently Learning Locality Optimizations by Decomposing Transformation Domains
Tharindu R. Patabandi and Mary Hall
(University of Utah, USA)

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A Deep Learning Model for Loop Interchange
Lina Mezdour, Khadidja Kadem, Massinissa Merouani, Amina Selma Haichour, Saman Amarasinghe, and Riyadh Baghdadi
(NYU Abu Dhabi, Abu Dhabi, United Arab Emirates; ESI, Algiers, Algeria; Massachusetts Institute of Technology, USA)

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(De/Re)-Compositions Expressed Systematically via MDH-Based Schedules
Ari Rasch, Richard Schulze, Denys Shabalin, Anne Elster, Sergei Gorlatch, and Mary Hall
(University of Muenster, Muenster, Germany; Google, Switzerland; NTNU, Trondheim, Norway; University of Utah, USA)

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Code Generation and Synthesis

A Sound and Complete Algorithm for Code Generation in Distance-Based ISA
Shu Sugita, Toru Koizumi, Ryota Shioya, Hidetsugu Irie, and Shuichi Sakai
(University of Tokyo, Tokyo, Japan)

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Matching Linear Algebra and Tensor Code to Specialized Hardware Accelerators
Pablo Antonio Martínez, Jackson Woodruff, Jordi Armengol-Estapé, Gregorio Bernabé, José Manuel García, and Michael F. P. O’Boyle
(University of Murcia, Murcia, Spain; University of Edinburgh, Edinburgh, UK)

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Torchy: A Tracing JIT Compiler for PyTorch
Nuno P. Lopes
(INESC-ID, Lisbon, Portugal; Instituto Superior Técnico - University of Lisbon, Lisbon, Portugal)

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Backend

A Symbolic Emulator for Shuffle Synthesis on the NVIDIA PTX Code
Kazuaki Matsumura, Simon Garcia De Gonzalo, and Antonio J. Peña
(Barcelona Supercomputing Center, Barcelona, Spain; Sandia National Laboratories, USA)

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Register Allocation for Compressed ISAs in LLVM
Andreas Fried, Maximilian Stemmer-Grabow, and Julian Wachter
(KIT, Karlsruhe, Germany)

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RL4ReAl: Reinforcement Learning for Register Allocation
S. VenkataKeerthy, Siddharth Jain, Anilava Kundu, Rohit Aggarwal, Albert Cohen, and Ramakrishna Upadrasta
(IIT Hyderabad, Hyderabad, India; Google, France)

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Code Size and Bugs

Automatically Localizing Dynamic Code Generation Bugs in JIT Compiler Back-End
HeuiChan Lim and Saumya Debray
(University of Arizona, USA)

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HyBF: A Hybrid Branch Fusion Strategy for Code Size Reduction
Rodrigo C. O. Rocha, Charitha Saumya, Kirshanthan Sundararajah, Pavlos Petoumenos, Milind Kulkarni, and Michael F. P. O’Boyle
(University of Edinburgh, Edinburgh, UK; Purdue University, USA; University of Manchester, Manchester, UK)

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Linker Code Size Optimization for Native Mobile Applications
Gai Liu, Umar Farooq, Chengyan Zhao, Xia Liu, and Nian Sun
(ByteDance, USA; ByteDance, China)

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Domain Specific Languages

Building a Compiled Query Engine in Python
Hesam Shahrokhi and Amir Shaikhha
(University of Edinburgh, Edinburgh, UK)

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Codon: A Compiler for High-Performance Pythonic Applications and DSLs
Ariya Shajii, Gabriel Ramirez, Haris Smajlović, Jessica Ray, Bonnie Berger, Saman Amarasinghe, and Ibrahim Numanagić
(Exaloop, USA; Massachusetts Institute of Technology, USA; University of Victoria, Canada)

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MOD2IR: High-Performance Code Generation for a Biophysically Detailed Neuronal Simulation DSL
George Mitenkov, Ioannis Magkanaris, Omar Awile, Pramod Kumbhar, Felix Schürmann, and Alastair F. Donaldson
(Imperial College London, London, UK; EPFL, Lausanne, Switzerland)

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Optimizations

A Hotspot-Driven Semi-automated Competitive Analysis Framework for Identifying Compiler Key Optimizations
Wenlong Mu, Yilei Zhang, Bo Huang, Jianmei Guo, and Shiqiang Cui
(East China Normal University, China; Hangzhou Hongjun Microelectronics Technology, China)

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LAGrad: Statically Optimized Differentiable Programming in MLIR
Mai Jacob Peng and Christophe Dubach
(McGill University, Canada; Mila, Canada)

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Lazy Evaluation for the Lazy: Automatically Transforming Call-by-Value into Call-by-Need
Breno Campos Ferreira Guimarães and Fernando Magno Quintão Pereira
(Federal University of Minas Gerais, Brazil)

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