Akihiro Hayashi

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Dr. Hayashi is a research scientist at Rice university. He received his Ph.D. degree from Waseda University in Japan in 2012. His research interests are focused on parallel computing, and include automatic parallelization, programming languages, compiler optimizations for parallel computer systems. He is now working on 1) GPGPU code generation from high-level languages (e.g. Java) and 2) LLVM-based compiler optimizations for PGAS (Partitioned Global Address Space) programs. A detailed information including publications can be found at http://ahayashi.blogs.rice.edu/

chapel gpu pgas java java gpu iterator machine learning programming optimizations locality compilers polyhedral model openmp optimization

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Akihiro Hayashi

GPUIterator: Bridging the Gap between Chapel and GPU Platforms

Exploration of Supervised Machine Learning Techniques for Runtime Selection of CPU vs. GPU Execution in Java Programs

Chapel-on-X: Exploring Tasking Runtimes for PGAS Languages

Introduction to Polyhedral Compilation

Exploring Compiler Optimization Opportunities for the OpenMP 4.x Accelerator Model on a POWER8+GPU Platform

LLVM-based Communication Optimizations for PGAS Programs

Machine-learning based performance heuristics for Runtime CPU/GPU Selection in Java

Machine-Learning-based Performance Heuristics for Runtime CPU/GPU Selection

Studies on Automatic Parallelization for Heterogeneous and Homogeneous Multicore Processors

LLVM Optimizations for PGAS Programs -Case Study: LLVM Wide Optimization in Chapel-

Speculative Execution of Parallel Programs with Precise Exception Semantics on GPUs

Accelerating Habanero-Java Program with OpenCL Generation