high performance computing on graphics processing units: hgpu.org

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Real-time parallel remote rendering for mobile devices using graphics processing units

Wucherl Yoo, Shu Shi, Won J. Jeon, Klara Nahrstedt, Roy H. Campbell

Tags: 3D Graphics and Realism, Computer science, Rendering

April 9, 2011 by hgpu

Parallel Dense Gauss-Seidel Algorithm on Many-Core Processors

H. Courtecuisse, J. Allard

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Tags: Algorithms, Computer science, CUDA, Medicine, nVidia, nVidia GeForce GTX 280, Package, Physics-based simulation, Surgical simulation

April 8, 2011 by hgpu

Optimize or Wait? Using llc Fast-Prototyping Tool to Evaluate CUDA Optimizations

Ruyman Reyes, Francisco de Sande

Tags: Computer science, CUDA, nVidia, Optimization

April 8, 2011 by hgpu

Support Vector Machines on GPU with Sparse Matrix Format

Tsung-Kai Lin, Shao-Yi Chien

Tags: Computer science, Machine learning, nVidia, nVidia GeForce GTX 470

April 8, 2011 by hgpu

High-Speed Implementations of Block Cipher ARIA Using Graphics Processing Units

Yongjin Yeom, Yongkuk Cho, Moti Yung

Tags: Block Ciphers, Computer science, CUDA, Hardware Architecture, nVidia, nVidia GeForce 8800 GTS, OpenGL, Security

April 8, 2011 by hgpu

Record Setting Software Implementation of DES Using CUDA

G. Agosta, A. Barenghi, F. De Santis, G. Pelosi

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 250, nVidia GeForce GTX 260, nVidia GeForce GTX 275, nVidia GeForce GTX 285, nVidia GeForce GTX 295, Security

April 8, 2011 by hgpu

Program Optimization of Array-Intensive SPEC2k Benchmarks on Multithreaded GPU Using CUDA and Brook+

Guibin Wang, Tao Tang, Xudong Fang, Xiaoguang Ren

Tags: Benchmarking, Brook, Computer science, CUDA, nVidia, Performance

April 8, 2011 by hgpu

CANSCID-CUDA

Michael Steffen, Veerendra Allada, Phillip Jones and Joseph Zambreno

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Tags: Computer science, CUDA, nVidia, Python, String matching, Tesla

April 8, 2011 by hgpu

Shape Manipulation on GPU

Hongqian Chen, Tianyu Huang, Fengxia Li, Shouyi Zhan

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Tags: 3D Graphics and Realism, Algorithms, Computer science, nVidia, nVidia GeForce 6600, OpenGL, Rendering

April 8, 2011 by hgpu

High throughput multiple-precision GCD on the CUDA architecture

N. Fujimoto

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

April 7, 2011 by hgpu

Program Optimization of Stencil Based Application on the GPU-Accelerated System

Guibin Wang, Xuejun Yang, Ying Zhang, Tao Tang, XuDong Fang

Tags: Computer science, Optimization

April 7, 2011 by hgpu

Using GPU to Accelerate Cache Simulation

Wan Han, Gao Xiaopeng, Wang Zhiqiang, Li Yi

Tags: Algorithms, Computer science, CUDA, Memory, nVidia, Optimization

April 7, 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

Real-time parallel remote rendering for mobile devices using graphics processing units

Parallel Dense Gauss-Seidel Algorithm on Many-Core Processors

Optimize or Wait? Using llc Fast-Prototyping Tool to Evaluate CUDA Optimizations

Support Vector Machines on GPU with Sparse Matrix Format

High-Speed Implementations of Block Cipher ARIA Using Graphics Processing Units

Record Setting Software Implementation of DES Using CUDA

Program Optimization of Array-Intensive SPEC2k Benchmarks on Multithreaded GPU Using CUDA and Brook+

CANSCID-CUDA

Shape Manipulation on GPU

High throughput multiple-precision GCD on the CUDA architecture

Program Optimization of Stencil Based Application on the GPU-Accelerated System

Using GPU to Accelerate Cache Simulation

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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