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Solving RFIC Simulation Tasks Using GPU Computations

Mihail-Iulian Andrei, Sebastian Kula

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Tags: Algorithms, CUDA, Electrodynamics, FEM, Finite element method, Linear Algebra, nVidia, Tesla C1060, Tesla C2070

April 1, 2013 by hgpu

Parallelization of the Cuckoo Search using CUDA Architecture

Raka Jovanovic, Milan Tuba

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Tags: Algorithms, Computer science, CUDA, Metaheuristics, nVidia, nVidia GeForce GTX 540 M, Optimization

April 1, 2013 by hgpu

OpenCL parallel Processing using General Purpose Graphical Processing units – TiViPE software development

Tino Lourens

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Tags: ATI, ATI Radeon HD 6310, Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 560, OpenCL

April 1, 2013 by hgpu

Geometric Algebra Computing Technology for Accelerated Processing Units

Patrick Charrier, Dietmar Hildenbrand

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, OpenCL, Programming techniques

April 1, 2013 by hgpu

A Discussion of Selected Vienna-Libraries for Computational Science

Karl Rupp, Florian Rudolf, Josef Weinbub

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Tags: ATI, ATI Radeon HD 7970, Computer science, CUDA, Linear Algebra, nVidia, nVidia GeForce GTX 285, OpenCL, Programming techniques, Review

April 1, 2013 by hgpu

Formal Analysis of GPU Programs with Atomics via Conflict-Directed Delay-Bounding

Wei-Fan Chiang, Ganesh Gopalakrishnan, Guodong Li, Zvonimir Rakamaric

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Tags: Computer science, CUDA, nVidia, Programming techniques

March 31, 2013 by hgpu

Specification and Verification of GPGPU Programs using Permission-Based Separation Logic

Marieke Huisman and Matej Mihelcic

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Tags: Computer science, OpenCL, Programming techniques

March 31, 2013 by hgpu

A journey from single-GPU to optimized multi-GPU SPH with CUDA

E. Rustico, G. Bilotta, G. Gallo, A. Herault, C. Del Negro, R. A. Dalrymple

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Tags: CUDA, Fluid dynamics, nVidia, nVidia GeForce GTX 480, Package

March 31, 2013 by hgpu

A Massively Parallel Associative Memory Based on Sparse Neural Networks

Zhe Yao, Vincent Gripon, Michael G. Rabbat

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Tags: Artificial intelligence, Computer science, CUDA, Neural and Evolutionary Computing, Neural networks, nVidia, Tesla C1060

March 31, 2013 by hgpu

CMCpy: Genetic Code-Message Coevolution Models in Python

Peter J. Becich, Brian P. Stark, Harish S. Bhat, David H. Ardell

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Tags: Bioinformatics, Biology, CUDA, nVidia, nVidia GeForce GTX 460, Package, Python

March 31, 2013 by hgpu

High Performance Computing using GPGPU’s

Omar Usman Khan

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Tags: Electrodynamics, FFT, nVidia, nVidia GeForce GTX 260, OpenCL, Package, Thesis

March 29, 2013 by hgpu

Warp Size Impact in GPUs: Large or Small?

Ahmad Lashgar, Amirali Baniasadi, Ahmad Khonsari

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Tags: Computer science, GPGPU-sim, Memory, Performance

March 29, 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

Solving RFIC Simulation Tasks Using GPU Computations

Parallelization of the Cuckoo Search using CUDA Architecture

OpenCL parallel Processing using General Purpose Graphical Processing units – TiViPE software development

Geometric Algebra Computing Technology for Accelerated Processing Units

A Discussion of Selected Vienna-Libraries for Computational Science

Formal Analysis of GPU Programs with Atomics via Conflict-Directed Delay-Bounding

Specification and Verification of GPGPU Programs using Permission-Based Separation Logic

A journey from single-GPU to optimized multi-GPU SPH with CUDA

A Massively Parallel Associative Memory Based on Sparse Neural Networks

CMCpy: Genetic Code-Message Coevolution Models in Python

High Performance Computing using GPGPU’s

Warp Size Impact in GPUs: Large or Small?

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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