high performance computing on graphics processing units: hgpu.org

hgpu.org » Memory

A Scalable and Reconfigurable Shared-Memory Graphics Cluster Architecture

Ross Brennan, Michael Manzke, Keith O'Conor, John Dingliana and Carol O'Sullivan

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Tags: Computer science, FPGA, GPU cluster, Memory, OpenGL

January 13, 2011 by hgpu

A memory optimization technique for software-managed scratchpad memory in GPUs

Maryam Moazeni, Alex A. T. Bui, Majid Sarrafzadeh

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Tags: Computer science, CUDA, Memory, nVidia, nVidia Quadro FX 5600, Optimization

January 11, 2011 by hgpu

A Unified Runtime System for Heterogeneous Multi-core Architectures

Cedric Augonnet, Raymond Namyst

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Tags: Computer science, CUDA, Heterogeneous systems, Memory, nVidia, nVidia Quadro FX 4600

January 7, 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

Shader-based tessellation to save memory bandwidth in a mobile multimedia processor

Kyusik Chung, Chang-Hyo Yu, Donghyun Kim, Lee-Sup Kim

Tags: Architecture, Computer science, Hardware, Memory, Tessellation

November 28, 2010 by hgpu

Complexity effective memory access scheduling for many-core accelerator architectures

George L. Yuan, Ali Bakhoda, Tor M. Aamodt

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Tags: Architecture, Computer science, CUDA, Hardware, Memory, nVidia

November 28, 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

A Scalable and Reconfigurable Shared-Memory Graphics Cluster Architecture

A memory optimization technique for software-managed scratchpad memory in GPUs

A Unified Runtime System for Heterogeneous Multi-core Architectures

An asymmetric distributed shared memory model for heterogeneous parallel systems

Shader-based tessellation to save memory bandwidth in a mobile multimedia processor

Complexity effective memory access scheduling for many-core accelerator architectures

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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