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Similarity Search in Metric Spaces on Parallel multi-core and multi-GPU Platforms

Ricardo Javier Barrientos Rojel

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Tags: Algorithms, Computer science, CUDA, Databases, nVidia, Package, Search strategies, Tesla C1060, Tesla M2070, Thesis

December 6, 2013 by hgpu

A Fast Implementation of Parallel Discrete-Event Simulation on GPGPU

Janche Sang, Che-Rung Lee, Vernon Rego, Chung-Ta King

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Tags: Algorithms, Computer science, CUDA, nVidia, Tesla M2070, Thrust

December 6, 2013 by hgpu

NaNet:a low-latency NIC enabling GPU-based, real-time low level trigger systems

Roberto Ammendola, Andrea Biagioni, Riccardo Fantechi, Ottorino Frezza, Gianluca Lamanna, Francesca Lo Cicero, Alessandro Lonardo, Pier Stanislao Paolucci, Felice Pantaleo, Roberto Piandani, Luca Pontisso, Davide Rossetti, Francesco Simula, Marco Sozzi, Laura Tosoratto, Piero Vicini

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Tags: CUDA, FPGA, nVidia, Physics, Tesla K20, Tesla M2070

November 6, 2013 by hgpu

A Framework for Management of Distributed Data Processing and Event Selection for the Icecube Neutrino Observatory

Juan Carlos Diaz Velez

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Tags: CUDA, High Energy Physics - Experiment, nVidia, Physics, Python, Tesla C1060, Tesla C2050, Tesla M2070, Thesis

October 24, 2013 by hgpu

Parametric GPU Code Generation for Affine Loop Programs

Athanasios Konstantinidis, Paul H. J. Kelly, J. Ramanujam, P. Sadayappan

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Tags: Code generation, Computer science, CUDA, nVidia, nVidia GeForce GT 540 M, nVidia GeForce GTX 580, OpenCL, Package, Tesla K20, Tesla M2070

October 5, 2013 by hgpu

Evaluation of disconnected quark loops for hadron structure using GPUs

C. Alexandrou, M. Constantinou, V. Drach, K. Hadjiyiannakou, K. Jansen, G. Koutsou, A. Strelchenko, A. Vaquero

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Tags: CUDA, High Energy Physics - Lattice, Nuclear Theory, nVidia, Physics, Tesla M2070

September 29, 2013 by hgpu

Re-Introduction of Communication-Avoiding FMM-Accelerated FFTs with GPU Acceleration

M. Harper Langston, Muthu Baskaran, Benoit Meister, Nicolas Vasilache, Richard Lethin

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Tags: Algorithms, CUDA, Fast multipole method, FFT, MPI, nVidia, Signal processing, Tesla M2070

September 29, 2013 by hgpu

Pipeline strategies to accelerate range query processing on a multi-GPU environment

Ricardo J. Barrientos

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Tags: Algorithms, Computer science, CUDA, Image recognition, nVidia, Tesla M2070

September 24, 2013 by hgpu

Preconditioned conjugate gradient solver for structural problems

Xiangge Li

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Tags: Computer science, Conjugate gradient solver, CUDA, nVidia, Physics, Tesla M2070

September 20, 2013 by hgpu

Using Modularity Metrics to assist Move Method Refactoring of Large System

Christian Napoli, Giuseppe Pappalardo, Emiliano Tramontana

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 480, Software Engineering, Tesla M2070

August 20, 2013 by hgpu

Lattice Boltzmann Method for Simulating Turbulent Flows

Yusuke Koda

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Tags: Algorithms, CUDA, Fluid dynamics, Lattice Boltzmann model, Numerical simulation, nVidia, Tesla M2070, Thesis

August 14, 2013 by hgpu

GPU implementation of a shell element structural solver aimed at fluid-structure interaction problems

Andrea Bartezzaghi

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Tags: Algorithms, CUDA, FEM, Finite element method, Fluid dynamics, nVidia, nVidia GeForce GTX 470, nVidia GeForce GTX 670 M, Tesla M2070, Thesis

August 8, 2013 by hgpu

CLUEstering: a high-performance density-based clustering library for scientific computing

CLUEstering: a high-performance density-based clustering library for scientific computing

PyOMP: OpenMP for Python in Numba

PyOMP: Parallel programming for CPUs and GPUs with OpenMP and Python

HiRep

Scaling SU(2) to 1000 GPUs using HiRep

GPPerf: Energy-Aware GPU Performance Prediction and Optimization Framework

Understanding GEMM Performance and Energy on NVIDIA Ada Lovelace: A Machine Learning-Based Analytical Approach

gpuPairHMM: Ultra-fast GPU-based PairHMM for DNA Variant Calling

gpuPairHMM: High-speed Pair-HMM Forward Algorithm for DNA Variant Calling on GPUs

Gaia AVU-GSR

Performance portability via C++ PSTL, SYCL, OpenMP, and HIP: the Gaia AVU-GSR case study

Kokkidio: Kokkos+Eigen - write fast, readable multi-platform code

Kokkidio: Fast, expressive, portable code, based on Kokkos and Eigen

LLaMA-Inference-Bench

LLM-Inference-Bench: Inference Benchmarking of Large Language Models on AI Accelerators

MATAR

On a Simplified Approach to Achieve Parallel Performance and Portability Across CPU and GPU Architectures

Over-synchronization in GPU Programs

Over-synchronization in GPU Programs

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