high performance computing on graphics processing units: hgpu.org

hgpu.org » PC cluster

In-Situ Techniques on GPU-Accelerated Data-Intensive Applications

Yi Ju, Mingshuai Li, Adalberto Perez, Laura Bellentani, Niclas Jansson, Stefano Markidis, Philipp Schlatter, Erwin Laure

View

Download (PDF)

Tags: Computer science, CUDA, Fluid dynamics, HPC, Molecular dynamics, nVidia, nVidia A100, PC cluster, Performance

August 14, 2024 by hgpu

Chat AI: A Seamless Slurm-Native Solution for HPC-Based Services

Ali Doosthosseini, Jonathan Decker, Hendrik Nolte, Julian M. Kunkel

View

Download (PDF)

Source codes

Tags: AI, Cloud, Computer science, HPC, LLM, nVidia, nVidia H100, Package, PC cluster

July 7, 2024 by hgpu

Hierarchical Resource Partitioning on Modern GPUs: A Reinforcement Learning Approach

Urvij Saroliya, Eishi Arima, Dai Liu, Martin Schulz

View

Download (PDF)

Tags: Computer science, CUDA, Heterogeneous systems, Machine learning, nVidia, nVidia A100, PC cluster, Task scheduling

May 20, 2024 by hgpu

Python Workflows on HPC Systems

Dominik Strassel, Philipp Reusch, Janis Keuper

View

Download (PDF)

Tags: Computer science, CUDA, Deep learning, GPU cluster, HPC, Machine learning, nVidia, PC cluster, Python

December 6, 2020 by hgpu

Scaling Deep Learning on GPU and Knights Landing clusters

Yang You, Aydin Buluc, James Demmel

View

Download (PDF)

Source codes

Tags: Cloud, Computer science, Deep learning, GPU cluster, Intel Xeon Phi, Machine learning, Neural networks, nVidia, Package, PC cluster, Tesla K80, Tesla M100

August 17, 2017 by hgpu

A Study of Scheduling a Neuro-imaging Application On a Heterogeneous CPU-GPU Cluster

Reza Nakhjavani

View

Download (PDF)

Tags: Algorithms, CUDA, GPU cluster, Heterogeneous systems, Image processing, Medicine, nVidia, nVidia GeForce GTX Titan, PC cluster, Thesis

April 25, 2015 by hgpu

Porting Large HPC Applications to GPU Clusters: The Codes GENE and VERTEX

Tilman Dannert, Andreas Marek, Markus Rampp

View

Download (PDF)

Tags: Computational Physics, CUDA, GPU cluster, Heterogeneous systems, nVidia, PC cluster, Physics, Plasma physics, Solar and Stellar Astrophysics, Tesla K20

October 8, 2013 by hgpu

Object support for OpenMP-style programming of GPU clusters in Java

Carolin Wolf, Georg Dotzler, Ronald Veldema, Michael Philippsen

View

Download (PDF)

Tags: Computer science, CUDA, GPU cluster, Java, nVidia, PC cluster, Tesla M1060

July 16, 2013 by hgpu

Interference-driven resource management for GPU-based heterogeneous clusters

Rajat Phull, Cheng-Hong Li, Kunal Rao, Srihari Cadambi, Srimat Chakradhar

View

Download (PDF)

Tags: Computer science, CUDA, GPU cluster, Heterogeneous systems, MPI, nVidia, PC cluster, Performance, Tesla C2050

August 1, 2012 by hgpu

Implementation and Evaluation of Recurrence Equation Solvers on GPGPU systems using Rearrangement of Array Configurations

Akiyoshi Wakatani

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, nVidia, PC cluster, Tesla C1060

July 29, 2012 by hgpu

A virtual memory based runtime to support multi-tenancy in clusters with GPUs

Michela Becchi, Kittisak Sajjapongse, Ian Graves, Adam Procter, Vignesh Ravi, Srimat Chakradhar

View

Download (PDF)

Tags: Cloud, Computer science, CUDA, GPU cluster, Heterogeneous systems, nVidia, PC cluster, Tesla C1060, Tesla C2050, Virtualization

July 27, 2012 by hgpu

A Generic Library for Stencil Computations

Mauro Bianco, Ugo Varetto

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, Heterogeneous systems, Mathematical Software, MPI, nVidia, PC cluster, Performance, Tesla M2090

July 10, 2012 by hgpu

Over-synchronization in GPU Programs

profile_util: simple C++ library to report memory, timing, thread affinity

Profile Util library: A quick and easy way to get MPI, OpenMP and GPU runtime information

MaC: Mamba CPU performance predictor

MambaCPU: Enhanced Correlation Mining with State Space Models for CPU Performance Prediction

Mixed-precision finite element kernels

Mixed-precision finite element kernels and assembly: Rounding error analysis and hardware acceleration

SHMT: The Simultaneous and Heterogenous Multithreading project

General-Purpose Computing on Tensor Processors

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

EnergyUCB-Bandit

Online Energy Optimization in GPUs: A Multi-Armed Bandit Approach

See all packages

* * *

high performance computing on graphics processing units: hgpu.org

In-Situ Techniques on GPU-Accelerated Data-Intensive Applications

Hierarchical Resource Partitioning on Modern GPUs: A Reinforcement Learning Approach

Python Workflows on HPC Systems

A Study of Scheduling a Neuro-imaging Application On a Heterogeneous CPU-GPU Cluster

Porting Large HPC Applications to GPU Clusters: The Codes GENE and VERTEX

Object support for OpenMP-style programming of GPU clusters in Java

Interference-driven resource management for GPU-based heterogeneous clusters

Implementation and Evaluation of Recurrence Equation Solvers on GPGPU systems using Rearrangement of Array Configurations

A Generic Library for Stencil Computations

Recent source codes

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

LLaMA-Inference-Bench

MATAR

Over-synchronization in GPU Programs

profile_util: simple C++ library to report memory, timing, thread affinity

MaC: Mamba CPU performance predictor

Mixed-precision finite element kernels

SHMT: The Simultaneous and Heterogenous Multithreading project

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

EnergyUCB-Bandit

Most viewed papers (last 30 days)