GPU-Imogen: An Astrophysical Hydrodynamic Code Built for Graphics Processing Units
نویسندگان
چکیده
منابع مشابه
Mendel-GPU: haplotyping and genotype imputation on graphics processing units
MOTIVATION In modern sequencing studies, one can improve the confidence of genotype calls by phasing haplotypes using information from an external reference panel of fully typed unrelated individuals. However, the computational demands are so high that they prohibit researchers with limited computational resources from haplotyping large-scale sequence data. RESULTS Our graphics processing uni...
متن کاملGravitational 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 multipole moments is carried out on the host CPU, while the force calculation which consists of tree walks and evaluation of interaction list is carried out on the GPU. In this way we achieve a sustained performance of abo...
متن کاملGrex: An efficient MapReduce framework for graphics processing units
In this paper, we present a new MapReduce framework, called Grex, designed to leverage general purpose graphics processing units (GPUs) for parallel data processing. Grex provides several new features. First, it supports a parallel split method to tokenize input data of variable sizes, such as words in e-books or URLs in web documents, in parallel using GPU threads. Second, Grex evenly distribu...
متن کاملAn Improved Magma Gemm For Fermi Graphics Processing Units
We present an improved matrix–matrix multiplication routine (General Matrix Multiply [GEMM]) in the MAGMA BLAS library that targets the NVIDIA Fermi graphics processing units (GPUs) using Compute Unified Data Architecture (CUDA). We show how to modify the previous MAGMA GEMM kernels in order to make a more efficient use of the Fermi’s new architectural features, most notably their extended memo...
متن کاملA load-balancing workload distribution scheme for three-body interaction computation on Graphics Processing Units (GPU)
Three-body effects play an important role for obtaining quantitatively high accuracy in a variety of molecular simulation applications. However, evaluation of three-body potentials is computationally costly, generally of O(N3) where N is the number of particles in a system. In this paper, we present a loadbalancing workload distribution scheme for calculating three-body interactions by taking a...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Oregon Undergraduate Research Journal
سال: 2015
ISSN: 2160-617X
DOI: 10.5399/uo/ourj.9.1.7