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Phase Transition in 3d Heisenberg Spin Glasses with Strong Random Anisotropies, through a Multi-GPU Parallelization

M. Baity-Jesi, L.A. Fernandez, V. Martin-Mayor, J.M. Sanz

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Tags: Condensed matter, CUDA, Disordered Systems and Neural Networks, GPU cluster, MPI, nVidia, Phase transition, Tesla M2050

September 9, 2013 by hgpu

GPU Accelerated Particle Visualization with Splotch

Marzia Rivi, Claudio Gheller, Mel Krokos, Klaus Dolag, Martin Reinecke

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Tags: Algorithms, Astrophysics, CUDA, Instrumentation and Methods for Astrophysics, MPI, Numerical simulation, nVidia, Rendering, Tesla M2090, Visualization

September 9, 2013 by hgpu

Swendsen-Wang Multi-Cluster Algorithm for the 2D/3D Ising Model on Xeon Phi and GPU

Florian Wende, Thomas Steinke

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Tags: Algorithms, CUDA, Intel Phi, Ising model, Monte Carlo simulation, MPI, nVidia, Physics, Tesla M2090

August 30, 2013 by hgpu

In-Situ Statistical Analysis of Autotune Simulation Data using Graphical Processing Units

Niloo Ranjan, Jibonananda Sanyal, Joshua New

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Tags: Computer science, CUDA, MPI, nVidia, Performance, Tesla K20

August 28, 2013 by hgpu

Tight Binding Molecular Dynamics on CPU and GPU clusters

Dimitar Pashov

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Tags: Algorithms, CUDA, Electrostatics, Fortran, GPU cluster, Linear Algebra, Molecular dynamics, MPI, nVidia, Physics, Tesla K20

August 23, 2013 by hgpu

Performance Analysis of a Symmetric Cryptography Algorithm on GPU and GPU Cluster

Adrian Pousa, Victoria Maria Sanz, Armando De Giusti

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Tags: AES, Algorithms, Computer science, CUDA, GPU cluster, MPI, nVidia, nVidia GeForce GTX 560 Ti, Security

August 17, 2013 by hgpu

GPU-Accelerated Scalable Solver for Banded Linear Systems

Hang Liu, Jung-Hee Seo, Rajat Mittal, H. Howie Huang

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Tags: Computer science, CUDA, Diffusion equation, Matrix decomposition, MPI, nVidia, OpenMPI, Poisson equation, Tesla M2050, Tesla M2090

August 16, 2013 by hgpu

A Memory Efficient Algorithm for Adaptive Multidimensional Integration with Multiple GPUs

Kamesh Arumugam, Alexander Godunov, Desh Ranjan, Balsa Terzic, Mohammad Zubair

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Tags: Algorithms, Computer science, CUDA, Mathematics, MPI, nVidia, Optimization, Package, Tesla M2090

August 12, 2013 by hgpu

A Parallel Algorithm for Calculation of Large Determinants with High Accuracy for GPUs and MPI clusters

Gleb Beliakov, Yuri Matiyasevich

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Tags: Algorithms, Computer science, CUDA, Mathematical Software, MPI, Number Theory, Numerical Analysis, nVidia, Tesla C2070

August 12, 2013 by hgpu

Matrix Convolution using Parallel Programming

Anirud Pande, Rohit Chandna

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Tags: Image processing, MPI, OpenCL

August 1, 2013 by hgpu

GPU peer-to-peer techniques applied to a cluster interconnect

Roberto Ammendola, Massimo Bernaschi, Andrea Biagioni, Mauro Bisson, Massimiliano Fatica, Ottorino Frezza, Francesca Lo Cicero, Alessandro Lonardo, Enrico Mastrostefano, Pier Stanislao Paolucci, Davide Rossetti, Francesco Simula, Laura Tosoratto, Piero Vicini

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Tags: Computational Physics, CUDA, FPGA, MPI, nVidia, Physics, Tesla S2075

August 1, 2013 by hgpu

From Physics Model to Results: An Optimizing Framework for Cross-Architecture Code Generation

Marek Blazewicz, Ian Hinder, David M. Koppelman, Steven R. Brandt, Milosz Ciznicki, Michal Kierzynka, Frank Loffler, Erik Schnetter, Jian Tao

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Tags: Code generation, Computational Physics, CUDA, Differential equations, Finite difference, MPI, nVidia, OpenMP, Partial differential equations, PDEs, Physics, Tesla M2050

July 25, 2013 by hgpu

MSCCL++: A GPU-driven communication stack for scalable AI applications

MSCCL++: Rethinking GPU Communication Abstractions for Cutting-edge AI Applications

Benchmark compute shader of Unity against InteropUnityCUDA

InteropUnityCUDA: A Tool for Interoperability Between Unity and CUDA

Data-efficient LLM Fine-tuning for Code Generation

Data-efficient LLM Fine-tuning for Code Generation

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

DeepCompile: A Compiler-Driven Approach to Optimizing Distributed Deep Learning Training

Large Language Model Powered C-to-CUDA Code Translation: A Novel Auto-Parallelization Framework

Large Language Model Powered C-to-CUDA Code Translation: A Novel Auto-Parallelization Framework

GigaAPI: a user-space API that simplifies multi-GPU programming, bridging the gap between the capabilities of parallel GPU systems and the ability of developers to harness their full potential

GigaAPI for GPU Parallelization

Coccinelle: a C code transformation engine using SmPL for matches, refactorings, and bug fixing

Advances in Semantic Patching for HPC-oriented Refactorings with Coccinelle

DuoReduce: MLIR's benchmark

Hardware-Assisted Software Testing and Debugging for Heterogeneous Computing

Shamrock: Multi-GPU hydrodynamics for astrophysics

The Shamrock code: I- Smoothed Particle Hydrodynamics on GPUs

LLMPerf: GPU Performance Modeling meets Large Language Models

LLMPerf: GPU Performance Modeling meets Large Language Models

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