high performance computing on graphics processing units: hgpu.org

Jaejin Lee, Jungwon Kim, Sangmin Seo, Seungkyun Kim, Jungho Park, Honggyu Kim, Thanh T. Dao, Yongjin Cho, Sung J. Seo, Seung H. Lee, Seung M. Cho, Hyo J. Song, Sang B. Suh, Jong D. Choi

Tags: Computer science, Memory model, OpenCL

January 16, 2011 by hgpu

An asymmetric distributed shared memory model for heterogeneous parallel systems

Isaac Gelado, John E. Stone, Javier Cabezas, Sanjay Patel, Nacho Navarro, Wen-mei W. Hwu

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Tags: Computer science, CUDA, Memory, Memory model, nVidia, nVidia GeForce GTX 280

January 6, 2011 by hgpu

Using Reconfigurable Logic to Optimise GPU Memory Accesses

Ben Cope, Peter Y. K. Cheung, Wayne Luk

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Tags: Computer science, Memory model, nVidia, nVidia GeForce 7900 GTX, Performance

December 27, 2010 by hgpu

Cache-efficient numerical algorithms using graphics hardware

Naga K. Govindaraju, Dinesh Manocha

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Tags: Computer science, Memory model, nVidia, nVidia GeForce 6800 Ultra, nVidia GeForce 7900 GTX, nVidia GeForce 8800 GTX, OpenGL

December 5, 2010 by hgpu

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

gpu_tracker: Python package for tracking and profiling GPU utilization in both desktop and high-performance computing environments

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

LOOPer: A Learned Automatic Code Optimizer For Polyhedral Compilers

OpenMC Monte Carlo Code

Performance Portable Monte Carlo Particle Transport on Intel, NVIDIA, and AMD GPUs

Polygeist: C/C++ frontend for MLIR

Retargeting and Respecializing GPU Workloads for Performance Portability

Parallel Gaussian process with kernel approximation in CUDA

Optical flow algorithms for SYCL

SYCL in the edge: performance and energy evaluation for heterogeneous acceleration

OpenMP5-Offload-OpenMC-Intel-PVC

Distributed OpenMP Offloading of OpenMC on Intel GPU MAX Accelerators

See all packages

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high performance computing on graphics processing units: hgpu.org

XMalloc: A Scalable Lock-free Dynamic Memory Allocator for Many-core Machines

Medium-Grained Functions Mapping using Modern GPUs

A Strategy for Automatically Generating High Performance CUDA Code for a GPU Accelerator from a Specialized Fortran Code Expression

Static Memory Access Pattern Analysis on a Massively Parallel GPU

Hypercubic Storage Layout and Transforms in Arbitrary Dimensions using GPUs and CUDA

3D GPU Architecture using Cache Stacking: Performance, Cost, Power and Thermal analysis

Data Layout Transformation for Structured-Grid Codes on GPU

A parallel evolutionary algorithm to optimize dynamic memory managers in embedded systems

An OpenCL framework for heterogeneous multicores with local memory

An asymmetric distributed shared memory model for heterogeneous parallel systems

Using Reconfigurable Logic to Optimise GPU Memory Accesses

Cache-efficient numerical algorithms using graphics hardware

Recent source codes

QArray

Celerity: High-level C++ for Accelerator Clusters

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

OpenMC Monte Carlo Code

Polygeist: C/C++ frontend for MLIR

Parallel Gaussian process with kernel approximation in CUDA

Optical flow algorithms for SYCL

OpenMP5-Offload-OpenMC-Intel-PVC

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