Abstract: A common approach to code optimization is to insert compiler hints in the source code using annotations. Two major challenges with using annotations effectively are their complexity and lack ...

CompilerGym is a library of easy to use and performant reinforcement learning environments for compiler tasks. It allows ML researchers to interact with important compiler optimization problems in a ...

Department of Medicinal Chemistry, Key Laboratory of Chemical Biology (Ministry of Education), School of Pharmaceutical Sciences, Cheeloo College of Medicine, Shandong University, 44 West Culture Road ...

Glenn D. Lowry led the Museum of Modern Art for longer than anyone. But the institution he reconstructed (twice) is facing all-new trials. Critic’s Notebook Glenn D. Lowry led the Museum of Modern Art ...

Abstract: To fully harness emerging computing architectures, compilers must provide intuitive input handling alongside powerful code optimization to unlock maximum performance. Coarse-Grained ...

A new technical paper titled “Automatically Retargeting Hardware and Code Generation for RISC-V Custom Instructions” was published by researchers at Tampere University. “Custom instruction (CI) set ...

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Deep-learning throughput hinges on how effectively a compiler stack maps tensor programs to GPU execution: thread/block schedules, memory movement, and instruction selection (e.g., Tensor Core MMA ...