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Gdev: First-Class GPU Resource Management in the Operating System

Shinpei Kato, Michael McThrow, Carlos Maltzahn, Scott Brandt

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 480, Operating systems, Package

June 18, 2012 by hgpu

Programming and Scheduling Model for Supporting Heterogeneous Accelerators in Linux

Tobias Beisel, Tobias Wiersema, Christian Plessl, Andre Brinkmann

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 480, Operating systems, Package, Task scheduling

May 19, 2012 by hgpu

Comparison of OpenMP and OpenCL Parallel Processing Technologies

Krishnahari Thouti, S.R.Sathe

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Tags: Algorithms, Benchmarking, Computer science, nVidia, nVidia Quadro FX 3800, OpenCL, OpenMP, Operating systems, Performance

May 6, 2012 by hgpu

Full system simulation of many-core heterogeneous SoCs using GPU and QEMU semihosting

Shivani Raghav, Christian Pinto, Martino Ruggiero, Andrea Marongiu, David Atienza, Luca Benini

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, Operating systems, Software Engineering, Tesla C2070

March 26, 2012 by hgpu

The Virtual OpenCL (VCL) Cluster Platform

Amnon Barak, Amnon Shiloh

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Tags: ATI, ATI Radeon HD 6970, Computer science, Heterogeneous systems, MPI, nVidia, nVidia GeForce GTX 480, OpenCL, Operating systems, Package

January 31, 2012 by hgpu

Graduate Operating Systems: Project Report

James Sweet

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Tags: AES, ATI, ATI Radeon HD 6750 M, Computer science, nVidia, nVidia GeForce GTX 580, nVidia GeForce GTX 590, OpenCL, Operating systems, Security, Tesla M2070

January 7, 2012 by hgpu

Low-power Task Scheduling for GPU Energy Reduction

Li Tang, Yiji Zhang

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Tags: Computer science, CUDA, Energy-efficient computing, nVidia, nVidia GeForce GTX 210, nVidia GeForce GTX 280, nVidia GeForce GTX 570, Operating systems, Task scheduling

January 6, 2012 by hgpu

Augmenting Operating Systems With the GPU

Weibin Sun, Robert Ricci

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 480, Operating systems, Package

January 2, 2012 by hgpu

The MOSIX Cluster Operating System for High-Performance Computing on Linux Clusters, Multi-Clusters, GPU Clusters and Clouds

A. Barak, A. Shiloh

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Tags: Cloud, Computer science, GPU cluster, nVidia, nVidia GeForce GTX 480, OpenCL, Operating systems, Package

December 18, 2011 by hgpu

Real-Time Handling of GPU Interrupts in LITMUS RT

Glenn A. Elliott, Chih-Hao Sun, James H. Anderson

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 470, Operating systems

December 5, 2011 by hgpu

The Multi2Sim Simulation Framework: A CPU-GPU Model for Heterogeneous Computing

Rafael Ubal, Julio Sahuquillo, Salvador Petit, Pedro Lopez, Zhongliang Chen, David R. Kaeli

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Tags: ATI, ATI Radeon HD 5870, Computer science, Heterogeneous systems, OpenCL, Operating systems, Package

November 18, 2011 by hgpu

ParaCodex: A Profiling-Guided Autonomous Coding Agent for Reliable Parallel Code Generation and Translation

SeedFold: Scaling Biomolecular Structure Prediction

Tilus: A Tile-Level GPU Kernel Programming Language

Tilus: A Tile-Level GPGPU Programming Language for Low-Precision Computation

Memory-Efficient Acceleration of Block Low-Rank Foundation Models on Resource Constrained GPUs

BoltzGen:Toward Universal Binder Design

CUDA-L2: Surpassing cuBLAS Performance for Matrix Multiplication through Reinforcement Learning

cuPilot: A Strategy-Coordinated Multi-agent Framework for CUDA Kernel Evolution

MATLAB Tensor Core models

Accurate Models of NVIDIA Tensor Cores

TritonForge: Transform PyTorch Operations into Optimized GPU Kernels with LLMs

TritonForge: Profiling-Guided Framework for Automated Triton Kernel Optimization

RLTune: Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

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high performance computing on graphics processing units: hgpu.org

Gdev: First-Class GPU Resource Management in the Operating System

Programming and Scheduling Model for Supporting Heterogeneous Accelerators in Linux

Comparison of OpenMP and OpenCL Parallel Processing Technologies

Full system simulation of many-core heterogeneous SoCs using GPU and QEMU semihosting

The Virtual OpenCL (VCL) Cluster Platform

Graduate Operating Systems: Project Report

Low-power Task Scheduling for GPU Energy Reduction

Augmenting Operating Systems With the GPU

Real-Time Handling of GPU Interrupts in LITMUS RT

The Multi2Sim Simulation Framework: A CPU-GPU Model for Heterogeneous Computing

Recent source codes

ParaCodex: A Profiling-Guided Autonomous Coding Agent for Reliable Parallel Code Generation and Translation

SeedFold: Scaling Biomolecular Structure Prediction

Tilus: A Tile-Level GPU Kernel Programming Language

Memory-Efficient Acceleration of Block Low-Rank Foundation Models on Resource Constrained GPUs

BoltzGen:Toward Universal Binder Design

CUDA-L2: Surpassing cuBLAS Performance for Matrix Multiplication through Reinforcement Learning

cuPilot: A Strategy-Coordinated Multi-agent Framework for CUDA Kernel Evolution

MATLAB Tensor Core models

TritonForge: Transform PyTorch Operations into Optimized GPU Kernels with LLMs

RLTune: Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

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