high performance computing on graphics processing units: hgpu.org

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Aquila: An Open-Source GPU-Accelerated Toolkit for Cognitive Robotics Research

Martin Peniak, Anthony Morse, Christopher Larcombe, Salomon Ramirez-Contla, Angelo Cangelosi

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Tags: Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 470, Package, Tesla C1060

December 11, 2011 by hgpu

Accelerating Swarm Intelligence Algorithms with GPU-Computing

Robin M. Weiss

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Tags: Algorithms, Cluster analysis, Clustering, Computer science, CUDA, Data mining, nVidia, Tesla C1060

December 11, 2011 by hgpu

Fast Face Detection Using Graphics Processor

Kailash Devrari, K.Vinay Kumar

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Tags: Algorithms, Computer science, Computer vision, CUDA, Image recognition, nVidia, nVidia Quadro FX 580

December 11, 2011 by hgpu

A Dynamic Approach to Weighted Suffix Tree Construction Algorithm

Binay Kumar Pandey, Rajdeep Niyogi, Ankush Mittal

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Tags: Algorithms, Cluster computing, Computer science, CUDA, nVidia, nVidia Quadro FX 3700, Suffix trees

December 11, 2011 by hgpu

Generalizing Execution of Vectorizable Computations by Generating Vector Oriented Byte Code

Troels Blum

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GT 210 M, nVidia GeForce GTX 460, Package, Python, Thesis

December 11, 2011 by hgpu

Evaluating graph coloring on GPUs

A.V. Pascal Grosset, Peihong Zhu, Shusen Liu, Suresh Venkatasubramanian, Mary Hall

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Tags: Algorithms, Computer science, CUDA, Graph theory, nVidia, Performance, Programming techniques

December 11, 2011 by hgpu

Achieving High Throughput Sequencing with Graphics Processing Units

Su Chen, Chaochao Zhang, Feng Shen, Ling Bai, Hai Jiang, Damir Herman

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Tags: Algorithms, Bioinformatics, Computer science, CUDA, nVidia, Sequence alignment, Tesla C2050

December 10, 2011 by hgpu

Fast and Memory-Efficient Minimum Spanning Tree on the GPU

Scott Rostrup, Shweta Srivastava, Kishore Singhal

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Tags: Algorithms, Computer science, Graph theory, nVidia, Performance, Tesla S1070, Tesla T10

December 10, 2011 by hgpu

Playdoh: A lightweight Python library for distributed computing and optimisation

Cyrille Rossant, Bertrand Fontaine, Dan F.M. Goodman

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Tags: Computer science, CUDA, Differential equations, Distributed computing, Monte Carlo simulation, nVidia, nVidia GeForce GTX 295, Package, Partial differential equations, PDEs, Python

December 10, 2011 by hgpu

Load Balancing Utilizing Data Redundancy in Distributed Volume Rendering

S. Frey, T. Ertl

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 285, Rendering

December 9, 2011 by hgpu

A design tool for efficient mapping of multimedia applications onto heterogeneous platforms

Chung-Ching Shen, Hsiang-Huang Wu, Nimish Sane, William Plishker, Shuvra S. Bhattacharyya

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Tags: Computer science, CUDA, Flow analysis, Heterogeneous systems, nVidia, nVidia GeForce GTX 260

December 9, 2011 by hgpu

DRAM Scheduling Policy for GPGPU Architectures Based on a Potential Function

Nagesh B. Lakshminarayana, Jaekyu Lee, Hyesoon Kim, Jinwoo Shin

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Tags: Computer science, Hardware Architecture, Memory

December 9, 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

Aquila: An Open-Source GPU-Accelerated Toolkit for Cognitive Robotics Research

Accelerating Swarm Intelligence Algorithms with GPU-Computing

Fast Face Detection Using Graphics Processor

A Dynamic Approach to Weighted Suffix Tree Construction Algorithm

Generalizing Execution of Vectorizable Computations by Generating Vector Oriented Byte Code

Evaluating graph coloring on GPUs

Achieving High Throughput Sequencing with Graphics Processing Units

Fast and Memory-Efficient Minimum Spanning Tree on the GPU

Playdoh: A lightweight Python library for distributed computing and optimisation

Load Balancing Utilizing Data Redundancy in Distributed Volume Rendering

A design tool for efficient mapping of multimedia applications onto heterogeneous platforms

DRAM Scheduling Policy for GPGPU Architectures Based on a Potential Function

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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