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KAdvice: infering synchronization patterns from an existing codebase

Alexander Schmidt, Andreas Polze

Tags: Computer science, Operating systems

September 9, 2011 by hgpu

Pegasus: coordinated scheduling for virtualized accelerator-based systems

Vishakha Gupta, Karsten Schwan, Niraj Tolia, Vanish Talwar, Parthasarathy Ranganathan

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce 9800 GTX, Operating systems, Task scheduling, Virtualization

September 7, 2011 by hgpu

Operating systems must support GPU abstractions

Christopher J. Rossbach, Jon Currey, Emmett Witchel

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Tags: Computer science, nVidia, nVidia GeForce GT 230, Operating systems

September 7, 2011 by hgpu

Resource Sharing in GPU-Accelerated Windowing Systems

Shinpei Kato, Karthik Lakshmanan, Yutaka Ishikawa, Ragunathan (Raj) Rajkumar

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Tags: Computer science, nVidia, nVidia GeForce 9500 GT, OpenGL, Operating systems, Rendering

June 22, 2011 by hgpu

GPU-based X server on top of EGL and openVG

Dongkyun Jeong, Kamalneet Singh, Namin Kim, Soochan Lim

Tags: Computer science, Energy-efficient computing, Operating systems

May 16, 2011 by hgpu

The multikernel: a new OS architecture for scalable multicore systems

Andrew Baumann, Paul Barham, Pierre E. Dagand, Tim Harris, Rebecca Isaacs, Simon Peter, Timothy Roscoe, Adrian Schüpbach, Akhilesh Singhania

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Tags: Computer science, Operating systems

November 27, 2010 by hgpu

TransCL: An Automatic CUDA-to-OpenCL Programs Transformation Framework

pyATF: The Auto-Tuning Framework (ATF) in Python

pyATF: Constraint-Based Auto-Tuning in Python

TritonBench: Benchmarking Large Language Model Capabilities for Generating Triton Operators

Checkpoint/Restore tool

CRIUgpu: Transparent Checkpointing of GPU-Accelerated Workloads

KernelBench: Can LLMs Write GPU Kernels?

KernelBench: Can LLMs Write Efficient GPU Kernels?

An MLIR-based toolchain for AMD AI Engine-enabled devices

Seamless acceleration of Fortran intrinsics via AMD AI engines

Forecasting time series with constraints

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high performance computing on graphics processing units: hgpu.org

KAdvice: infering synchronization patterns from an existing codebase

Pegasus: coordinated scheduling for virtualized accelerator-based systems

Operating systems must support GPU abstractions

Resource Sharing in GPU-Accelerated Windowing Systems

GPU-based X server on top of EGL and openVG

The multikernel: a new OS architecture for scalable multicore systems

Recent source codes

wgpy: WebGL accelerated numpy-compatible array library for web browser

Microbenchmarking OpenMP target offload with Catch2

SUperman: Highly Efficient Permanent Computation Library

TransCL: An Automatic CUDA-to-OpenCL Programs Transformation Framework

pyATF: The Auto-Tuning Framework (ATF) in Python

TritonBench: Benchmarking Large Language Model Capabilities for Generating Triton Operators

Checkpoint/Restore tool

KernelBench: Can LLMs Write GPU Kernels?

An MLIR-based toolchain for AMD AI Engine-enabled devices

Forecasting time series with constraints

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