high performance computing on graphics processing units: hgpu.org

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Acceleration of iterative Navier-Stokes solvers on graphics processing units

Tomczak, T., Zadarnowska, K., Koza, Z., Matyka, M., Miroslaw, L.

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Tags: CUDA, Finite volume method, Fluid dynamics, GPU, hardware acceleration, incompressible flow, Navier-Stokes solvers, OpenFOAM, operator splitting, Parallelization, PISO, SIMPLE

September 9, 2013 by Vratis

A Bi-objective Optimization Framework for Query Plans

P. Przymus, K. Kaczmarski, K. Stencel

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Tags: Heterogeneous systems, Performance, Programming techniques

September 7, 2013 by hgpu

GPU-based simulation of brain neuron models

H. A. Du Nguyen

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Tags: CUDA, Neural networks, Neuroscience, nVidia, nVidia GeForce GT 640, Review, Tesla C2075, Thesis

September 7, 2013 by hgpu

Comparison and Analysis of GPU Energy Effciency For CUDA and OpenCL

J. Jackson

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Tags: CUDA, nVidia, nVidia GeForce 9800 GT, OpenCL, Power-efficient computing

September 7, 2013 by hgpu

D5.5.3 – Design and implementation of the SIMD-MIMD GPU architecture

J. Lucas, S. Lal, M. Alvarez-Mesa, A. Alhossini, B. Juurlink

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Tags: CUDA, Performance, Power-efficient computing

September 7, 2013 by hgpu

Combining recent HPC techniques for 3D geophysics acceleration

L. Boillot, E. Agullo, G. Bosilca, H. Calandra

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Tags: Geoscience, Intel Xeon Phi, Seismic modeling

September 7, 2013 by hgpu

D5.5.2 – Architectural Techniques to exploit SLACK & ACCURACY trade-offs

S. Kaxiras, G. Keramidas, K. Koukos

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Tags: Benchmarking, Memory, Power-efficient computing

September 6, 2013 by hgpu

A Survey on GPU System Considering its Performance on Different Applications

D. Londhe, P. Barapatre, N. Gholap,S. Das

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Tags: CUDA, nVidia, Performance, Review

September 6, 2013 by hgpu

Phase Aware Memory Scheduling

C. Sangani, M. Venkatesan, R. Ramesh

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Tags: Heterogeneous systems, Memory, Memory model

September 6, 2013 by hgpu

Skew Handling in Aggregate Streaming Queries on GPUs

G. Koutsoumpakis, I. Koutsoumpakis, A. Gounaris

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Tags: CUDA, Databases, nVidia, nVidia GeForce GTX 460, nVidia GeForce GTX 550 Ti, Performance

September 6, 2013 by hgpu

Percolation study of samples on 2D lattices using GPUs

D.A. Matoz-Fernandez, P.M. Pasinetti, A.J. Ramirez-Pastor

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Tags: CUDA, Materials Science, Mathematics, nVidia, nVidia GeForce GTX 480, Physics

September 6, 2013 by hgpu

Efficient Implementation of RLS-Based Adaptive Filters on nVIDIA GeForce Graphics Processing Unit

A. Hirano, K. Nakayama

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Tags: CUDA, Filtering, nVidia, nVidia GeForce 8800 GTS, Signal processing

September 5, 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

See all packages

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high performance computing on graphics processing units: hgpu.org

Applications

Acceleration of iterative Navier-Stokes solvers on graphics processing units

A Bi-objective Optimization Framework for Query Plans

GPU-based simulation of brain neuron models

Comparison and Analysis of GPU Energy Effciency For CUDA and OpenCL

D5.5.3 – Design and implementation of the SIMD-MIMD GPU architecture

Combining recent HPC techniques for 3D geophysics acceleration

D5.5.2 – Architectural Techniques to exploit SLACK & ACCURACY trade-offs

A Survey on GPU System Considering its Performance on Different Applications

Phase Aware Memory Scheduling

Skew Handling in Aggregate Streaming Queries on GPUs

Percolation study of samples on 2D lattices using GPUs

Efficient Implementation of RLS-Based Adaptive Filters on nVIDIA GeForce Graphics Processing Unit

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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