high performance computing on graphics processing units: hgpu.org

hgpu.org » Cloud

MR-API: A Comprehensive API Framework for Heterogeneous Multi-core Systems using Map Reduce Programming Model

Prashanth Thinakaran, Srinivas Avireddy, Prasanna Ranganathan, Sumalatha Ramachandran

View

Tags: Benchmarking, Cloud, Computer science, Heterogeneous systems, MapReduce, nVidia, nVidia GeForce GTX 275

October 22, 2012 by hgpu

Generalized Resource Allocation for the Cloud

Anshul Rai, Ranjita Bhagwan, Saikat Guha

View

Tags: ATI, ATI Radeon HD 6990, Cloud, Computer science, nVidia, OpenCL, Performance, Tesla C2075, Virtualization

October 17, 2012 by hgpu

Case Studies in Acceleration of Heston’s Stochastic Volatility Financial Engineering Model: GPU, Cloud and FPGA Implementations

Christos Delivorias

View

Tags: Cloud, CUDA, Finance, FPGA, nVidia, Tesla K10, Thesis

August 30, 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

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

July 27, 2012 by hgpu

Runtime Systems and Scheduling Support for High-End CPU-GPU Architectures

Vignesh Trichy Ravi

View

Tags: Cloud, Computer science, CUDA, GPU cluster, Heterogeneous systems, nVidia, OpenCL, Tesla C2050, Thesis

July 10, 2012 by hgpu

Hadoop+Aparapi: Making heterogenous MapReduce programming easier

Yu Lin, Semih Okur, Cosmin Radoi

View

Tags: Algorithms, Cloud, Computer science, Java, MapReduce, OpenCL

April 10, 2012 by hgpu

Iterative Statistical Kernels on Contemporary GPUs

Thilina Gunarathne, Bimalee Salpitikorala, Arun Chauhan, Geoffrey Fox

View

Tags: Algorithms, Cloud, Clustering, Computer science, nVidia, OpenCL, Sparse matrix, Tesla C1060, Tesla C2070, Tesla M2050

March 15, 2012 by hgpu

High-Performance Distributed Multi-Model / Multi-Kernel Simulations: A Case-Study in Jungle Computing

Niels Drost, Jason Maassen, Maarten A.J. van Meersbergen, Henri E. Bal, F. Inti Pelupessy, Simon Portegies Zwart, Michael Kliphuis, Henk A. Dijkstra, Frank J. Seinstra

View

Tags: Astrophysics, Cloud, Computer science, CUDA, Earth and Space Sciences, Heterogeneous systems, nVidia, Physics, Solar and Stellar Astrophysics, Tesla C2050

March 6, 2012 by hgpu

Shredder: GPU-Accelerated Incremental Storage and Computation

Pramod Bhatotia, Rodrigo Rodrigues, Akshat Verma

View

Tags: Cloud, Computer science, CUDA, MapReduce, nVidia, Storage system, Tesla C2050

February 24, 2012 by hgpu

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

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

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

* * *

* * *

HGPU group © 2010-2024 hgpu.org

All rights belong to the respective authors

Login | Sitemap | Feedback | Policy

Contact us: