high performance computing on graphics processing units: hgpu.org

hgpu.org » Computer science

Language virtualization for heterogeneous parallel computing

Hassan Chafi, Zach DeVito, Adriaan Moors, Tiark Rompf, Arvind K. Sujeeth, Pat Hanrahan, Martin Odersky, Kunle Olukotun

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Tags: Algorithms, Code generation, Computer science, Heterogeneous systems, High-level Languages

March 17, 2011 by hgpu

Implementation of algorithms with a fine-grained parallelism on GPUs

K. Kalgin

Tags: Algorithms, Cellular automata, Computer science, CUDA, nVidia, Programming techniques

March 17, 2011 by hgpu

RDMA-Based Job Migration Framework for MPI over InfiniBand

Xiangyong Ouyang, Sonya Marcarelli, Raghunath Rajach, K. P. Dhabaleswar

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Tags: Algorithms, Computer science, MPI

March 17, 2011 by hgpu

Live, Video-Rate Super-Resolution Microscopy Using Structured Illumination and Rapid GPU-Based Parallel Processing

Jonathan Lefman, Keana Scott, Stephan Stranick

Tags: Computer science, CUDA, Microscopy, nVidia

March 17, 2011 by hgpu

Memory-Scalable GPU Spatial Hierarchy Construction

Qiming Hou, Xin Sun, Kun Zhou, Christian Lauterbach, Dinesh Manocha, Baining Guo

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Tags: Computer science, CUDA, KD-tree, Memory, nVidia, nVidia GeForce GTX 280

March 17, 2011 by hgpu

CUDA Compatible GPU as an Efficient Hardware Accelerator for AES Cryptography

Svetlin A. Manavski

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Tags: AES, ATI, ATI Radeon X1900, Computer science, CUDA, nVidia, nVidia GeForce 8800 GTX, OpenGL, Security

March 17, 2011 by hgpu

High-Throughput Transaction Executions on Graphics Processors

Bingsheng He, Jeffrey Xu Yu

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Tags: Computer science, CUDA, Databases, nVidia, Optimization, Tesla C1060

March 17, 2011 by hgpu

Direct evaluation of NURBS curves and surfaces on the GPU

Adarsh Krishnamurthy, Rahul Khardekar, Sara Mcmains

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Tags: 3D Graphics and Realism, ATI, ATI Radeon X1900, Computer science, nVidia, nVidia GeForce FX 6800, nVidia Quadro FX 3000, nVidia Quadro FX 4500, OpenGL

March 16, 2011 by hgpu

Implementing the Himeno benchmark with CUDA on GPU clusters

Everett H. Phillips, Massimiliano Fatica

Tags: Benchmarking, Computer science, CUDA, GPU cluster, nVidia, Performance, Tesla C1060

March 16, 2011 by hgpu

GPU-Based Techniques For Global Illumination Effects

L Szirmay-Kalos, Laszlo Szecsi, Mateu Sbert

Tags: 3D Graphics and Realism, Book, Computer science, DirectX, OpenGL, Programming techniques

March 16, 2011 by hgpu

GPU-based frequency domain volume rendering

Ivan Viola, Armin Kanitsar, Meister Eduard Groller

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Tags: ATI, ATI Radeon 9800 XT, Computer science, Image generation, OpenGL, Rendering

March 16, 2011 by hgpu

Patterns of Inefficient Performance Behavior in GPU Applications

Dominic Eschweiler, Daniel Becker, Felix Wolf

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 480, Optimization, Performance, Tesla T10

March 16, 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

Language virtualization for heterogeneous parallel computing

Implementation of algorithms with a fine-grained parallelism on GPUs

RDMA-Based Job Migration Framework for MPI over InfiniBand

Live, Video-Rate Super-Resolution Microscopy Using Structured Illumination and Rapid GPU-Based Parallel Processing

Memory-Scalable GPU Spatial Hierarchy Construction

CUDA Compatible GPU as an Efficient Hardware Accelerator for AES Cryptography

High-Throughput Transaction Executions on Graphics Processors

Direct evaluation of NURBS curves and surfaces on the GPU

Implementing the Himeno benchmark with CUDA on GPU clusters

GPU-Based Techniques For Global Illumination Effects

GPU-based frequency domain volume rendering

Patterns of Inefficient Performance Behavior in GPU Applications

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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