high performance computing on graphics processing units: hgpu.org

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An FPGA-specific algorithm for direct generation of multi-variate Gaussian random numbers

David B. Thomas, Wayne Luk

Tags: Algorithms, Computer science, CUDA, DSP, FPGA, Numerical simulation, nVidia, Pseudo-random number generators

August 30, 2011 by hgpu

Data Parallelism Exploiting for H.264 Encoder

Mei Wen, Ju Ren, Nan Wu, Huayou Su, Changqing Xun, Chunyuan Zhang

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Tags: Algorithms, Computer science, Data parallelism, DSP, H.264/AVC, Video encoding

August 12, 2011 by hgpu

Potential contribution of CNN-based solving of stiff ODEs and PDEs to enabling real-time Computational Engineering

J.C. Chedjou, K. Kyamakya, U.A. Khan, M.A. Latif

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Tags: Cellular neural networks, CNN, Computational Engineering, Computer science, Differential equations, DSP, FPGA, Maxwell's equations, Neural networks, ODEs, Optimization, Ordinary differential equations, Partial differential equations, PDEs

August 2, 2011 by hgpu

Evaluating the potential of graphics processors for high performance embedded computing

Shuai Mu, Chenxi Wang, Ming Liu, Dongdong Li, Maohua Zhu, Xiaoliang Chen, Xiang Xie, Yangdong Deng

Tags: ASIC, Benchmarking, Computer science, DSP, Embedded high-performance computing

May 30, 2011 by hgpu

A fast stereo matching algorithm suitable for embedded real-time systems

Martin Humenberger, Christian Zinner, Michael Weber, Wilfried Kubinger, Markus Vincze

Tags: Computer science, Computer vision, DSP

November 22, 2010 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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