high performance computing on graphics processing units: hgpu.org

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Parallel implementations of the MinMin heterogeneous computing scheduler in GPU

Mauro Canabe, Sergio Nesmachnow

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, Task scheduling, Tesla C1060

November 16, 2012 by hgpu

CUDA and OpenCL Implementations of 3D CT Reconstruction for Biomedical Imaging

Saoni Mukherjee, Nicholas Moore, James Brock, Miriam Leeser

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Tags: ATI, ATI Radeon HD 5870, Computed tomography, CT, CUDA, Heterogeneous systems, Image reconstruction, Medicine, nVidia, OpenCL, Tesla C2070

November 16, 2012 by hgpu

Device specialization in heterogeneous multi-GPU environments

Gabriele Cocco, Antonio Cisternino

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Tags: AMD Fusion, ATI, ATI IL, ATI Radeon HD 5870, Computer science, GPU cluster, Heterogeneous systems, Task scheduling

November 15, 2012 by hgpu

Reusable OpenCL FPGA Infrastructure

Stephen Alexander Chin

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Tags: Computer science, FPGA, Heterogeneous systems, OpenCL, Thesis

November 8, 2012 by hgpu

Kite: Braided Parallelism for Heterogeneous Systems

J. Garrett Morris, Benedict R. Gaster, Lee Howes

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Tags: Compilers, Computer science, Heterogeneous systems, OpenCL, Programming techniques

November 5, 2012 by hgpu

DL: A data layout transformation system for heterogeneous computing

I-Jui Sung, Geng Daniel Liu, Wen-Mei W. Hwu

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Source codes

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

November 1, 2012 by hgpu

An Environment to Support GPU and Multicore Programming for Rapid, High Performance, Application Deployment

James Laurence Brock

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Tags: ATI, ATI Radeon HD 5870, Computer science, CUDA, Heterogeneous systems, Image reconstruction, Monte Carlo simulation, nVidia, nVidia GeForce 9800 GX2, nVidia GeForce GTX 560 Ti, OpenCL, Tesla C1060, Tesla S1070, Thesis

October 26, 2012 by hgpu

A (ir)regularity-aware task scheduler for heterogeneous platforms

Artur Mariano, Ricardo Alves, Joao Barbosa, Luis Paulo Santos, Alberto Proenca

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Tags: Computer science, CUDA, FFT, Heterogeneous systems, nVidia, nVidia GeForce GTX 580, Task scheduling

October 22, 2012 by hgpu

Streaming Dynamic Coarse-Grained CPU/GPU Workloads with Heterogeneous Pipelines in FastFlow

Mehdi Goli, Michael T. Garba, Horacio Gonzalez-Velez

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Tags: Computer science, CUDA, Heterogeneous systems, Linear Algebra, nVidia, Tesla M2090

October 22, 2012 by hgpu

MR-API: A Comprehensive API Framework for Heterogeneous Multi-core Systems using Map Reduce Programming Model

Prashanth Thinakaran, Srinivas Avireddy, Prasanna Ranganathan, Sumalatha Ramachandran

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Tags: Benchmarking, Cloud, Computer science, Heterogeneous systems, MapReduce, nVidia, nVidia GeForce GTX 275

October 22, 2012 by hgpu

Research on DSP-GPU Heterogeneous Computing System

Xiangzhen Li, Jingying Hu, Weiguo Lv, Guiqiang Wang, Xinrong Cai

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Tags: ATI, ATI Radeon HD 6760, Computer science, DSP, Heterogeneous systems, OpenCL, Particle swarm optimization, Task scheduling

October 20, 2012 by hgpu

Design and Performance Evaluation of a Software Framework for Multi-Physics Simulations on Heterogeneous Supercomputers

Christian Feichtinger

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Tags: CUDA, Fluid dynamics, GPU cluster, Heterogeneous systems, Lattice Boltzmann model, MPI, Numerical simulation, nVidia, Tesla M2050, Tesla M2070, Thesis

October 17, 2012 by hgpu

Agentic Code Optimization via Compiler-LLM Cooperation

MegaTrain: Full Precision Training of 100B+ Parameter Large Language Models on a Single GPU

Device Virtual Machine (DVM)

DVM: Real-Time Kernel Generation for Dynamic AI Models

AutoKernel: Autoresearch for GPU kernels. Give it any PyTorch model, go to sleep, wake up to optimized Triton kernels

AutoKernel: Autonomous GPU Kernel Optimization via Iterative Agent-Driven Search

SOL-ExecBench: Speed-of-Light Benchmarking for Real-World GPU Kernels Against Hardware Limits

Triton-Sanitizer: A Fast and Device-Agnostic Memory Sanitizer for Triton with Rich Diagnostic Context

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high performance computing on graphics processing units: hgpu.org

Parallel implementations of the MinMin heterogeneous computing scheduler in GPU

CUDA and OpenCL Implementations of 3D CT Reconstruction for Biomedical Imaging

Device specialization in heterogeneous multi-GPU environments

Reusable OpenCL FPGA Infrastructure

Kite: Braided Parallelism for Heterogeneous Systems

DL: A data layout transformation system for heterogeneous computing

An Environment to Support GPU and Multicore Programming for Rapid, High Performance, Application Deployment

A (ir)regularity-aware task scheduler for heterogeneous platforms

Streaming Dynamic Coarse-Grained CPU/GPU Workloads with Heterogeneous Pipelines in FastFlow

Research on DSP-GPU Heterogeneous Computing System

Design and Performance Evaluation of a Software Framework for Multi-Physics Simulations on Heterogeneous Supercomputers

Recent source codes

Agentic Code Optimization via Compiler-LLM Cooperation

MegaTrain: Full Precision Training of 100B+ Parameter Large Language Models on a Single GPU

Device Virtual Machine (DVM)

AutoKernel: Autoresearch for GPU kernels. Give it any PyTorch model, go to sleep, wake up to optimized Triton kernels

SOL-ExecBench: Speed-of-Light Benchmarking for Real-World GPU Kernels Against Hardware Limits

Triton-Sanitizer: A Fast and Device-Agnostic Memory Sanitizer for Triton with Rich Diagnostic Context

LLM.Q: Quantized LLM training in pure CUDA/C++

True 4-Bit Quantized CNN Training on CPU

cuFuzz: A GPU-oriented coverage-guided fuzzer for userland CUDA application

KernelSkill: A Multi-Agent Framework for GPU Kernel Optimization

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