high performance computing on graphics processing units: hgpu.org

Won-Ki Jeong, Jens Schneider, Stephen G. Turney, Beverly E. Faulkner-Jones, Dominik Meyer, Rudiger Westermann, R. Clay Reid, Jeff Lichtman, Hanspeter Pfister

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Tags: Image processing, Medicine, nVidia, nVidia GeForce GTX 285, OpenGL, Texture detection, Visualization

June 17, 2011 by hgpu

Exploiting Memory Access Patterns to Improve Memory Performance in Data-Parallel Architectures

Byunghyun Jang, Dana Schaa, Perhaad Mistry, David Kaeli

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Tags: ATI, ATI Radeon HD 3870, Brook, Computer science, CUDA, Data parallelism, Memory model, nVidia, nVidia GeForce GTX 285, Review

June 17, 2011 by hgpu

Accelerating Viola-Jones Face Detection to FPGA-Level Using GPUs

Daniel Hefenbrock, Jason Oberg, Nhat Tan Nguyen Thanh, Ryan Kastner, Scott B. Baden

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Tags: Computer science, Computer vision, CUDA, FPGA, GPU cluster, Image recognition, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 295

June 15, 2011 by hgpu

A sparse octree gravitational N-body code that runs entirely on the GPU processor

Jeroen Bedorf, Evghenii Gaburov, Simon Portegies Zwart

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Source codes

Tags: Astrophysics, CUDA, Gravitation, Instrumentation and Methods for Astrophysics, N-body simulation, nVidia, nVidia GeForce 8800 GTS, nVidia GeForce GTX 285, nVidia GeForce GTX 480, Package, Tesla C1060, Tesla C2050

June 14, 2011 by hgpu

Real-time view synthesis system with multi-texture structure of GPU

Ji-Youn Choi, Sae-Woon Ryu, Hong-Chang Shin, Jong-Il Park

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Tags: Algorithms, Image processing, nVidia, nVidia GeForce GTX 285, OpenGL

May 28, 2011 by hgpu

A new representation of intensity atlas for GPU-accelerated instance generation

Ren Hui Gong, J. Stewart, P. Abolmaesumi

Tags: Computed tomography, CT, Image processing, Medicine, nVidia, nVidia GeForce GTX 285

May 24, 2011 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

See all packages

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high performance computing on graphics processing units: hgpu.org

Boosting sphere decoding speed through Graphic Processing Units

H- and C-level WFST-based large vocabulary continuous speech recognition on Graphics Processing Units

Towards a robust, real-time face processing system using CUDA-enabled GPUs

Accelerating Lossless Data Compression with GPUs

Real-Time 2-D Temperature Imaging Using Ultrasound

Acceleration of PET Monte Carlo simulation using the graphics hardware ray-tracing engine

Interactive Histology of Large-Scale Biomedical Image Stacks

Exploiting Memory Access Patterns to Improve Memory Performance in Data-Parallel Architectures

Accelerating Viola-Jones Face Detection to FPGA-Level Using GPUs

A sparse octree gravitational N-body code that runs entirely on the GPU processor

Real-time view synthesis system with multi-texture structure of GPU

A new representation of intensity atlas for GPU-accelerated instance generation

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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