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CORR
2010
Springer
135views Education» more  CORR 2010»
13 years 3 months ago
Gravitational tree-code on graphics processing units: implementation in CUDA
We present a new very fast tree-code which runs on massively parallel Graphical Processing Units (GPU) with NVIDIA CUDA architecture. The tree-construction and calculation of mult...
Evghenii Gaburov, Jeroen Bédorf, Simon Port...
CORR
2007
Springer
114views Education» more  CORR 2007»
13 years 4 months ago
High Performance Direct Gravitational N-body Simulations on Graphics Processing Units
We present the results of gravitational direct N-body simulations using the commercial graphics processing units (GPU) NVIDIA Quadro FX1400 and GeForce 8800GTX, and compare the re...
Simon Portegies Zwart, Robert G. Belleman, Peter G...
ASPLOS
2011
ACM
12 years 8 months ago
Sponge: portable stream programming on graphics engines
Graphics processing units (GPUs) provide a low cost platform for accelerating high performance computations. The introduction of new programming languages, such as CUDA and OpenCL...
Amir Hormati, Mehrzad Samadi, Mark Woh, Trevor N. ...
PDCAT
2009
Springer
13 years 11 months ago
CheCUDA: A Checkpoint/Restart Tool for CUDA Applications
Abstract—In this paper, a tool named CheCUDA is designed to checkpoint CUDA applications that use GPUs as accelerators. As existing checkpoint/restart implementations do not supp...
Hiroyuki Takizawa, Katsuto Sato, Kazuhiko Komatsu,...
INTENSIVE
2009
IEEE
13 years 11 months ago
Accelerating K-Means on the Graphics Processor via CUDA
In this paper an optimized k-means implementation on the graphics processing unit (GPU) is presented. NVIDIA’s Compute Unified Device Architecture (CUDA), available from the G8...
Mario Zechner, Michael Granitzer