high performance computing on graphics processing units: hgpu.org

Carla Osthoff, Roberto Pinto Souto, Fabricio Vilasboas, Pablo Grunmann, Pedro L. Silva Dias, Francieli Boito, Rodrigo Kassick, Laercio Pilla, Philippe Navaux, Claudio Schepke, Nicolas Maillard, Jairo Panetta, Pedro Pais Lopes, Robert Walko

View

Download (PDF)

Tags: CUDA, Earth and Space Sciences, nVidia, nVidia GeForce GTX 285, Performance, Tesla C2050

April 10, 2012 by hgpu

Dynamic Programming with CUDA – Part II

Robert Hochberg

View

Download (PDF)

Source codes

Tags: Algorithms, Computer science, CUDA, Distributed computing, nVidia, Package, Review

April 10, 2012 by hgpu

A Comparative Study of Parallel Algorithms for the Girth Problem

Michael J. Dinneen, Masoud Khosravani, Kuai Wei

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, nVidia, Tesla C2050

April 10, 2012 by hgpu

An innovative compilation tool-chain for embedded multi-core architectures

M. Torquati, M. Vanneschi, M. Amini, S. Guelton, R. Keryell, V. Lanore, F.-X. Pasquier, M. Barreteau, R. Barrere, T. Petrisor, E. Lenormand, C. Cantini, F. De Stefani

View

Download (PDF)

Tags: Algorithms, Code generation, Computer science, CUDA, Filtering, nVidia, nVidia GeForce GTX 480, OpenCL, Tesla C2050

April 10, 2012 by hgpu

high performance computing on graphics processing units: hgpu.org

Design of high-performance parallelized gene predictors in MATLAB

Spatial Indexing of Large-Scale Geo-Referenced Point Data on GPGPUs Using Parallel Primitives

Verifying GPU Kernels by Test Amplification

Programming issues for video analysis on Graphics Processing Units

Bonsai: A GPU Tree-Code

Exposing Fine-Grained Parallelism in Algebraic Multigrid Methods

RGEM: A Responsive GPGPU Execution Model for Runtime Engines

Real-time Visualization of Streaming Text with Force-Based Dynamic System

Improving Atmospheric Model Performance on a Multi-Core Cluster System

Dynamic Programming with CUDA – Part II

A Comparative Study of Parallel Algorithms for the Girth Problem

An innovative compilation tool-chain for embedded multi-core architectures

Recent source codes

OpScanner

Atlas CLI: Machine Learning (ML) Lifecycle & Transparency Manager

transformers_tvm: Implementation of Encoder Decoder transformer on TVM

INT v.s. FP: A framework to compare low-bit integer and float-point formats

AutoDock-GPU: AutoDock for GPUs and other accelerators

NCCLX: collective communication framework

Tutoring LLM into a Better CUDA Optimizer

Adaptivity in AdaptiveCpp: Optimizing Performance by Leveraging Runtime Information During JIT-Compilation

Kernel Library for LLM Serving

Neptune: Advanced ML Operator Fusion for Locality and Parallelism on GPUs

Most viewed papers (last 30 days)