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Use NVIDIA CUDA technology to create genetic algorithms with extensive population

Maciej Kolomycki

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Tags: Algorithms, Computer science, CUDA, Genetic programming, nVidia, nVidia GeForce GT 540 M, nVidia GeForce GTX 460

April 22, 2013 by hgpu

GPGPU Based Non-photorealistic Rendering of Volume Data

Anca Morar, Florica Moldoveanu, Victor Asavei, Lucian Petrescu, Alin Moldoveanu, Alexandru Egner

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Tags: Algorithms, Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GT 230 M, Rendering, Visualization

April 22, 2013 by hgpu

Computer Simulation of Saturn’s Ring Structure

Cole Kendrick

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Tags: Astrophysics, ATI, ATI Radeon HD 5850, Gravitation, MPI, N-body simulation, nVidia, nVidia GeForce GTX 580, OpenCL, Package, Tesla S2050

April 21, 2013 by hgpu

GPU-SD and DPD Parallelization for Gromacs tools for molecular dynamics simulations

Nicolae Goga, Siewert Marrink, Ruxandra Cioromela, Florica Moldoveanu

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Tags: Algorithms, Bioinformatics, Biology, Chemistry, CUDA, Molecular dynamics, nVidia, nVidia GeForce 9600 GT

April 21, 2013 by hgpu

Parallel Sequential Monte Carlo for Efficient Density Combination: The Deco Matlab Toolbox

Roberto Casarin, Stefano Grassi, Francesco Ravazzolo, H. K. Van Dijk

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Tags: Bayesian, Computer science, CUDA, nVidia, nVidia Quadro K 2000 M

April 21, 2013 by hgpu

One OpenCL to Rule Them All?

Romain Dolbeau, Francois Bodin, Guillaume Colin de Verdiere

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Tags: ATI, ATI Radeon HD 7970, Computer science, Intel, Intel Phi, nVidia, OpenACC, OpenCL, Performance, Portability, Tesla K20

April 21, 2013 by hgpu

An Automatic Input-Sensitive Approach for Heterogeneous Task Partitioning

Klaus Kofler, Ivan Grasso, Biagio Cosenza, Thomas Fahringer

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Tags: ATI, ATI Radeon HD 5870, Code generation, Compilers, Computer science, Heterogeneous systems, Machine learning, Neural networks, nVidia, nVidia GeForce GTX 480, OpenCL, Performance, Task scheduling

April 21, 2013 by hgpu

You Can Type, but You Can’t Hide: A Stealthy GPU-based Keylogger

Evangelos Ladakis, Lazaros Koromilas, Giorgos Vasiliadis, Michalis Polychronakis, Sotiris Ioannidis

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GT 630, nVidia GeForce GTX 480, Security

April 19, 2013 by hgpu

Graphics processing unit (GPU) programming strategies and trends in GPU computing

Andre R. Brodtkorb, Trond R. Hagen, Martin L. Saetra

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Tags: Computer science, Heterogeneous systems, Metaheuristics, Optimization, Overview, Programming techniques

April 19, 2013 by hgpu

GPU Computing in Discrete Optimization – Part II: Survey Focused on Routing Problems

Christian Schulz, Geir Hasle, Andre R. Brodtkorb, Trond R. Hagen

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Tags: Algorithms, Computer science, CUDA, Heterogeneous systems, nVidia, Optimization, Tutorial

April 19, 2013 by hgpu

GPU Computing in Discrete Optimization – Part I: Introduction to the GPU

Andre R. Brodtkorb, Trond R. Hagen, Christian Schulz, Geir Hasle

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Tags: Algorithms, Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 480, Optimization, Tutorial

April 19, 2013 by hgpu

SemCache: Semantics-aware Caching for Efficient GPU Offloading

Nabeel AlSaber, Milind Kulkarni

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Tags: Computer science, CUDA, nVidia, Performance, Programming techniques, Tesla C2070

April 19, 2013 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

Use NVIDIA CUDA technology to create genetic algorithms with extensive population

GPGPU Based Non-photorealistic Rendering of Volume Data

Computer Simulation of Saturn’s Ring Structure

GPU-SD and DPD Parallelization for Gromacs tools for molecular dynamics simulations

Parallel Sequential Monte Carlo for Efficient Density Combination: The Deco Matlab Toolbox

One OpenCL to Rule Them All?

An Automatic Input-Sensitive Approach for Heterogeneous Task Partitioning

You Can Type, but You Can’t Hide: A Stealthy GPU-based Keylogger

Graphics processing unit (GPU) programming strategies and trends in GPU computing

GPU Computing in Discrete Optimization – Part II: Survey Focused on Routing Problems

GPU Computing in Discrete Optimization – Part I: Introduction to the GPU

SemCache: Semantics-aware Caching for Efficient GPU Offloading

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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