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A refactoring tool to extract GPU kernels

Kostadin Damevski, Madhan Muralimanohar

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Tags: Code generation, Compilers, Computer science, CUDA, nVidia, Presentation

July 22, 2011 by hgpu

GLOpenCL: OpenCL support on hardware- and software-managed cache multicores

Konstantis Daloukas, Christos D. Antonopoulos, Nikolaos Bellas

Tags: Code generation, Compilers, Computer science, Heterogeneous systems, OpenCL

July 22, 2011 by hgpu

MATLAB Parallelization through Scalarization

Chun-Yu Shei, Adarsh Yoga, Madhav Ramesh, Arun Chauhan

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Tags: Compilers, Computer science, CUDA, nVidia, Performance, Tesla C1060

July 11, 2011 by hgpu

Many-core parallel computing – Can compilers and tools do the heavy lifting?

W.-m.W. Hwu

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Tags: Compilers, Computer science, CUDA, Image processing, nVidia, Presentation, Review

July 10, 2011 by hgpu

A compiler for high performance computing with many-core accelerators

Naohito Nakasato, Jun Makino

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Tags: ATI, ATI CAL, ATI IL, Compilers, Computer science, RV770

June 15, 2011 by hgpu

Multilevel Granularity Parallelism Synthesis on FPGAs

Alexandros Papakonstantinou, Yun Liang, John A. Stratton, Karthik Gururaj, Deming Chen, Wen-Mei W. Hwu, Jason Cong

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Tags: Code generation, Compilers, Computer science, CUDA, FPGA, nVidia, nVidia GeForce 9800 GX2

May 21, 2011 by hgpu

Synthesis of Platform Architectures from OpenCL Programs

Muhsen Owaida, Nikolaos Bellas, Konstantis Daloukas, Christos D. Antonopoulos

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Tags: Code generation, Compilers, Computer science, Electronic design automation, Embedded high-performance computing, FPGA, Heterogeneous systems, OpenCL

May 21, 2011 by hgpu

Compile-time GPU memory access optimizations

Gert-Jan van den Braak, Bart Mesman, Henk Corporaal

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Tags: Compilers, Computer science, CUDA, nVidia, nVidia GeForce 8800 GT, Optimization, Programming techniques

May 17, 2011 by hgpu

GPU-S2S: A Compiler for Source-to-Source Translation on GPU

Dan Li, Haijun Cao, Xiaoshe Dong, Bao Zhang

Tags: Code generation, Compilers, Computer science, CUDA, High-level Languages, nVidia

April 23, 2011 by hgpu

MARC: A Many-Core Approach to Reconfigurable Computing

Ilia Lebedev, Shaoyi Cheng, Austin Doupnik, James Martin, Christopher Fletcher, Daniel Burke, Mingjie Lin, John Wawrzynek

Tags: Compilers, Computer science, FPGA, OpenCL, Performance

April 2, 2011 by hgpu

A framework for efficient and scalable execution of domain-specific templates on GPUs

Narayanan Sundaram, Anand Raghunathan, S. T. Chakradhar

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Tags: Code generation, Compilers, Computer science, nVidia, nVidia GeForce 8800 GTX, Tesla C870

March 15, 2011 by hgpu

Obsidian: GPU Programming in Haskell

Koen Claessen, Mary Sheeran, Joel Svensson

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Tags: Code generation, Compilers, Computer science, CUDA, nVidia, nVidia GeForce 8800 GTS, Package

March 13, 2011 by hgpu

HipKittens: Fast and Furious AMD Kernels

CudaForge: An Agent Framework with Hardware Feedback for CUDA Kernel Optimization

LC Framework

Characterizing the Performance of Parallel Data-Compression Algorithms across Compilers and GPUs

pplx-garden: Perplexity open source garden for inference technology

RDMA Point-to-Point Communication for LLM Systems

OpScanner

A Study of Floating-Point Precision Tuning in Deep Learning Operators Implementations

Atlas CLI: Machine Learning (ML) Lifecycle & Transparency Manager

Scalable GPU-Based Integrity Verification for Large Machine Learning Models

transformers_tvm: Implementation of Encoder Decoder transformer on TVM

Enhancing Transformer Performance and Portability through Auto-tuning Frameworks

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high performance computing on graphics processing units: hgpu.org

A refactoring tool to extract GPU kernels

GLOpenCL: OpenCL support on hardware- and software-managed cache multicores

MATLAB Parallelization through Scalarization

Many-core parallel computing – Can compilers and tools do the heavy lifting?

A compiler for high performance computing with many-core accelerators

Multilevel Granularity Parallelism Synthesis on FPGAs

Synthesis of Platform Architectures from OpenCL Programs

Compile-time GPU memory access optimizations

GPU-S2S: A Compiler for Source-to-Source Translation on GPU

MARC: A Many-Core Approach to Reconfigurable Computing

A framework for efficient and scalable execution of domain-specific templates on GPUs

Obsidian: GPU Programming in Haskell

Recent source codes

HipKittens: Fast and Furious AMD Kernels

Fortran xDSL dialects

mt4g: Memory Topology 4 GPUs

Falcon: GPU-Based Floating-point Adaptive Lossless Compression

CudaForge: An Agent Framework with Hardware Feedback for CUDA Kernel Optimization

LC Framework

pplx-garden: Perplexity open source garden for inference technology

OpScanner

Atlas CLI: Machine Learning (ML) Lifecycle & Transparency Manager

transformers_tvm: Implementation of Encoder Decoder transformer on TVM

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