high performance computing on graphics processing units: hgpu.org

Applications

hgpu.org » Applications » Image and Signal Processing » Signal processing

Performance Analysis of General-Purpose Computation on Commodity Graphics Hardware: A Case Study Using Bioinformatics

Weiguo Liu, Bertil Schmidt, Wolfgang Muller-Wittig

Tags: Biology, Computer science, nVidia, Sequence alignment, Signal processing

November 7, 2010 by hgpu

Realistic real-time sound re-synthesis and processing for interactive virtual worlds

Fernando Trebien, Manuel Oliveira

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Tags: CUDA, nVidia, nVidia GeForce 9800 GTX, Signal processing

November 5, 2010 by hgpu

Performance Comparison of Graphics Processors to Reconfigurable Logic: A Case Study

Ben Cope, Peter Y. K. Cheung, Wayne Luk, Lee Howes

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Tags: FPGA, nVidia, nVidia GeForce 7900 GTX, OpenGL, Signal processing

November 5, 2010 by hgpu

GPU processing of particle system animation

D. Gladkiy, I. Belago, N. Elykov, S. Kuzikowski

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Tags: Optoelectronics, Physics, Signal processing

November 4, 2010 by hgpu

Hybrid GPU-Based Single- and Double-Bounce SAR Simulation

T. Balz, U. Stilla

Tags: Geoscience, Physics, Raytracing, Rendering, Signal processing

October 28, 2010 by hgpu

A GPU based real-time software correlation system for the Murchison Widefield Array prototype

Randall B. Wayth,Lincoln J. Greenhill,Frank H. Briggs

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Tags: Astrophysics, CUDA, Instrumentation and Methods for Astrophysics, nVidia, nVidia GeForce 8800 GTS, nVidia GeForce 8800 GTX, Signal processing, Tesla C1060

October 27, 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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high performance computing on graphics processing units: hgpu.org

Applications

Performance Analysis of General-Purpose Computation on Commodity Graphics Hardware: A Case Study Using Bioinformatics

Realistic real-time sound re-synthesis and processing for interactive virtual worlds

Performance Comparison of Graphics Processors to Reconfigurable Logic: A Case Study

GPU processing of particle system animation

Hybrid GPU-Based Single- and Double-Bounce SAR Simulation

A GPU based real-time software correlation system for the Murchison Widefield Array prototype

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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