high performance computing on graphics processing units: hgpu.org

Ilya Lashuk, Aparna Chandramowlishwaran, Harper Langston, Tuan-Anh nguyen, Rahul Sampath, Aashay Shringarpure, Richard Vuduc, Lexing Ying, Denis Zorin, George Biros

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Tags: Computer science, CUDA, Fast multipole method, Heterogeneous systems, MPI, nVidia, Programming techniques, Tesla M2070

July 5, 2012 by hgpu

Navigating An Evolutionary Fast Path to Exascale – Expanded Version

R.F. Barrett, S.D. Hammond, C.T. Vaughan, D.W. Doerfler, M.A. Heroux

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

July 5, 2012 by hgpu

A Fast GPU-Based Motion Estimation Algorithm for H.264/AVC

Rafael Rodriguez-Sanchez, Jose Luis Martinez, Gerardo Fernandez-Escribano, Jose Luis Sanchez, Jose Manuel Claver

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Tags: Compression, Computational Complexity, CUDA, H.264/AVC, Heterogeneous systems, Image processing, nVidia, nVidia GeForce GTX 480

July 4, 2012 by hgpu

A Scheduling Framework for a Heterogeneous Parallel Architecture

Wei Zhang

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Tags: Computer science, CUDA, Distributed computing, Heterogeneous systems, nVidia, nVidia Quadro FX 1800, Task scheduling, Tesla C1060, Thesis

June 30, 2012 by hgpu

An Optimized Large-Scale Hybrid DGEMM Design for CPUs and ATI GPUs

Jiajia Li, Xingjian Li, Guangming Tan, Mingyu Chen, Ninghui Sun

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Tags: Algorithms, ATI, ATI CAL, ATI Radeon HD 5970, ATI Stream, Computer science, Heterogeneous systems, Matrix multiplication, Optimization, Package

June 29, 2012 by hgpu

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

SimSYCL: A SYCL Implementation Targeting Development, Debugging, Simulation and Conformance

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

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

94% on CIFAR-10 in 3.29 Seconds on a Single GPU

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

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high performance computing on graphics processing units: hgpu.org

A Yoke of Oxen and a Thousand Chickens for Heavy Lifting Graph Processing

Distributed OpenCL: a platform for distributed, heterogeneous computing for domain scientists

Data Partitioning on Heterogeneous Multicore and Multi-GPU Systems Using Functional Performance Models of Data-Parallel Applications

Invitation to a Standard Programming Interface for Massively Parallel Computing Environment: OpenCL

A Generic Library for Stencil Computations

High Performance System in GPU and CUDA Media Processing System

A Massively Parallel Adaptive Fast Multipole Method on Heterogeneous Architectures

Navigating An Evolutionary Fast Path to Exascale – Expanded Version

A Fast GPU-Based Motion Estimation Algorithm for H.264/AVC

A Scheduling Framework for a Heterogeneous Parallel Architecture

An Optimized Large-Scale Hybrid DGEMM Design for CPUs and ATI GPUs

Recent source codes

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

GPU plugin for PySCF

QArray

Celerity: High-level C++ for Accelerator Clusters

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

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

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

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