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Acceleration of the 3D ADI-FDTD method using graphics processor units

T.P. Stefanski, T.D. Drysdale

Tags: Electrodynamics, FDTD, Finite-difference time-domain

July 8, 2011 by hgpu

Binary Mesh Partitioning for Cache-Efficient Visualization

Marc Tchiboukdjian, Vincent Danjean, Bruno Raffin

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 280, Optimization, Visualization

July 8, 2011 by hgpu

Automatic code generation for solvers of cardiac cellular membrane dynamics in GPUs

R.M. Amorim, B.M. Rocha, F.O. Campos, R.W. dos Santos

Tags: Code generation, Computer science, Heart, Medicine, ODEs, Ordinary differential equations

July 8, 2011 by hgpu

SCGPSim: A fast SystemC simulator on GPUs

Mahesh Nanjundappa, Hiren D. Patel, Bijoy A. Jose, Sandeep K. Shukla

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Tags: Code generation, Computer science, CUDA, High-level Languages, nVidia, Tesla D870

July 8, 2011 by hgpu

Implementability of shading models for current game engines

B. Atabek, A. Kumar

Tags: 3D Graphics and Realism, Computer science, Games, Shaders

July 8, 2011 by hgpu

Parallel implementation of a spiking neuronal network model of unsupervised olfactory learning on NVidia CUDA

T. Nowotny

Tags: Biology, CUDA, Neural networks, nVidia, Tesla C870

July 8, 2011 by hgpu

Hybrid Core Acceleration of UWB SIRE Radar Signal Processing

Song Jun Park, James A. Ross, Dale R. Shires, David A. Richie, Brian J. Henz, Lam H. Nguyen

Tags: ATI, Brook, CUDA, Heterogeneous systems, nVidia, Signal processing

July 8, 2011 by hgpu

Visualizing Multiwavelength Astrophysical Data

Hongwei Li, Chi-Wing Fu, Andrew J. Hanson

Tags: Astrophysics, Physics, Visualization

July 8, 2011 by hgpu

Accelerated video encoding using render context information

Philipp Fechteler, Peter Eisert

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Tags: DirectX, H.264/AVC, Image processing, OpenGL, Rendering, Video encoding

July 8, 2011 by hgpu

High Performance Remote Sensing Image Processing Using CUDA

Xiaoshu Si, Hong Zheng

Tags: CUDA, Image processing, nVidia, Sensing

July 8, 2011 by hgpu

Enhanced implementation of the NTRUEncrypt algorithm using graphics cards

A.A. Kamal, A.M. Youssef

Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 275, Security

July 7, 2011 by hgpu

Parallelizing FPGA Technology Mapping Using Graphics Processing Units (GPUs)

Doris Chen, Deshanand Singh

Tags: Algorithms, Computer science, FPGA

July 7, 2011 by hgpu

PROM: an open-source software framework to enhance the robustness and performance of predictive models against such changes during deployment

Enhancing Deployment-Time Predictive Model Robustness for Code Analysis and Optimization

DeepSpeed: a deep learning optimization library that makes distributed training and inference easy, efficient, and effective

Scalable Access-Pattern Aware I/O Acceleration and Multi-Tiered Data Management for HPC and AI Workloads

Reproducible Study and Performance Analysis of GPU Programming Paradigms: OpenACC vs. CUDA in Key Linear Algebra Computations

SW#SYCL

Analyzing the Performance Portability of SYCL across CPUs, GPUs, and Hybrid Systems with Protein Database Search

tdg-benchs: benchmarks used to test the performance of taskgraph

Leveraging the potential of task-based programming with OpenMP task graphs

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high performance computing on graphics processing units: hgpu.org

Applications

Acceleration of the 3D ADI-FDTD method using graphics processor units

Binary Mesh Partitioning for Cache-Efficient Visualization

Automatic code generation for solvers of cardiac cellular membrane dynamics in GPUs

SCGPSim: A fast SystemC simulator on GPUs

Implementability of shading models for current game engines

Parallel implementation of a spiking neuronal network model of unsupervised olfactory learning on NVidia CUDA

Hybrid Core Acceleration of UWB SIRE Radar Signal Processing

Visualizing Multiwavelength Astrophysical Data

Accelerated video encoding using render context information

High Performance Remote Sensing Image Processing Using CUDA

Enhanced implementation of the NTRUEncrypt algorithm using graphics cards

Parallelizing FPGA Technology Mapping Using Graphics Processing Units (GPUs)

Recent source codes

PROM: an open-source software framework to enhance the robustness and performance of predictive models against such changes during deployment

DeepSpeed: a deep learning optimization library that makes distributed training and inference easy, efficient, and effective

HPX: a C++ Standard Library for Concurrency and Parallelism

TorchQC: Quantum Dynamics and Machine Learning

Matrix multiplication using Tensor Cores in CUDA

CPP Joules: Energy Measurement tool for CPP/CUDA programs

HPC-Coder-v2

Reproducible Study and Performance Analysis of GPU Programming Paradigms: OpenACC vs. CUDA in Key Linear Algebra Computations

SW#SYCL

tdg-benchs: benchmarks used to test the performance of taskgraph

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