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Real Time Capture of Audio Images and their Use with Video

Adam O'Donovan, Ramani Duraiswami, Nail A. Gumerov

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Tags: CUDA, nVidia, nVidia GeForce 8800 GTX, Signal processing

December 6, 2010 by hgpu

Optical Flow Computation on Compute Unified Device Architecture

Yoshiki Mizukami, Katsumi Tadamura

Tags: CUDA, Image processing, nVidia

December 5, 2010 by hgpu

GPU physics

Mark Harris

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Tags: Computer science, CUDA, nVidia, OpenGL, Presentation, Review

December 5, 2010 by hgpu

Voice Command Recognition with Dynamic Time Warping (DTW) using Graphics Processing Units (GPU) with Compute Unified Device Architecture (CUDA)

Gustavo Poli, Joao F. Mari, Hiroki, Alexandre L. Levada

Tags: CUDA, nVidia, nVidia GeForce 8800 GTX, Signal processing

December 5, 2010 by hgpu

Implementing a GPU-Enhanced Cluster for Large-Scale Simulations

Robert Lucas, Gene Wagenbreth, Dan Davis

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Tags: Computer science, CUDA, nVidia, nVidia GeForce 8800 GTX, Programming techniques

December 5, 2010 by hgpu

In-memory grid files on graphics processors

Ke Yang, Bingsheng He, Rui Fang, Mian Lu, Naga Govindaraju, Qiong Luo, Pedro Sander, Jiaoying Shi

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Tags: Algorithms, Computer science, CUDA, Databases, nVidia, nVidia GeForce 8800 GTX

December 4, 2010 by hgpu

GPUQP: query co-processing using graphics processors

Rui Fang, Bingsheng He, Mian Lu, Ke Yang, Naga K. Govindaraju, Qiong Luo, Pedro V. Sander

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Tags: Algorithms, Computer science, CUDA, Databases, nVidia, Package, Review

December 4, 2010 by hgpu

GPU Computing: Programming a Massively Parallel Processor

Ian Buck

Tags: Computer science, CUDA, High-level Languages, nVidia, Review

December 4, 2010 by hgpu

Simulation of 1+1 dimensional surface growth and lattices gases using GPUs

Henrik Schulz, Geza Odor, Gergely Odor, Máté Ferenc Nagy

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Tags: ATI, ATI Radeon HD 5970, Computational Physics, CUDA, Disordered Systems and Neural Networks, nVidia, nVidia Quadro FX 5800, OpenCL, Physics, Statistical Mechanics, Tesla C1060

December 3, 2010 by hgpu

GPU-BLAST: Using graphics processors to accelerate protein sequence alignment

Panagiotis D. Vouzis, Nikolaos V. Sahinidis

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Tags: Bioinformatics, Biology, BLAST, CUDA, nVidia, Package, Sequence alignment, Tesla C2050

November 30, 2010 by hgpu

StarPU: A Unified Platform for Task Scheduling on Heterogeneous Multicore Architectures

Cedric Augonnet, Samuel Thibault, Raymond Namyst, Pierre-Andre Wacrenier

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Tags: Computer science, CUDA, Distributed computing, nVidia, nVidia Quadro FX 4600, Package, Performance

November 28, 2010 by hgpu

Fast multipole methods on a cluster of GPUs for the meshless simulation of turbulence

R. Yokota, T. Narumi, R. Sakamaki, S. Kameoka, S. Obi, K. Yasuoka

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Tags: CUDA, Fast multipole method, Fluid dynamics, GPU cluster, Molecular dynamics, nVidia, nVidia GeForce 8800 GT, Physics

November 28, 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

Real Time Capture of Audio Images and their Use with Video

Optical Flow Computation on Compute Unified Device Architecture

GPU physics

Voice Command Recognition with Dynamic Time Warping (DTW) using Graphics Processing Units (GPU) with Compute Unified Device Architecture (CUDA)

Implementing a GPU-Enhanced Cluster for Large-Scale Simulations

In-memory grid files on graphics processors

GPUQP: query co-processing using graphics processors

GPU Computing: Programming a Massively Parallel Processor

Simulation of 1+1 dimensional surface growth and lattices gases using GPUs

GPU-BLAST: Using graphics processors to accelerate protein sequence alignment

StarPU: A Unified Platform for Task Scheduling on Heterogeneous Multicore Architectures

Fast multipole methods on a cluster of GPUs for the meshless simulation of turbulence

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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