permGPU: Using graphics processing units in RNA microarray association studies
نویسندگان
چکیده
منابع مشابه
Algorithmic performance studies on graphics processing units
We report on our experience with integrating and using graphics processing units (GPUs) as fast parallel floatingpoint co-processors to accelerate two fundamental computational scientific kernels on the GPU: sparse direct factorization and nonlinear interior-point optimization. Since a full re-implementation of these complex kernels is typically not feasible, we identify the matrix-matrix multi...
متن کاملData Mining Using Graphics Processing Units
During the last few years, Graphics Processing Units (GPU) have evolved from simple devices for the display signal preparation into powerful coprocessors that do not only support typical computer graphics tasks such as rendering of 3D scenarios but can also be used for general numeric and symbolic computation tasks such as simulation and optimization. As major advantage, GPUs provide extremely ...
متن کاملAccelerating Genetic Programming Using Graphics Processing Units
Evolution through natural selection offers the possibility of automatically generating functionally complex solutions to a wide range of problems. Methods such as Genetic Programming (GP) show the promise of this approach but tend to stagnate after relatively few generations. To research this issue, execution speed must be substantially improved. This thesis presents work to accelerate the exec...
متن کاملIterative Solutions using Programmable Graphics Processing Units
This work investigates the feasibility of implementing an iterative algorithm on a programmable GPU (PGPU) using the Fuzzy C-Means (FCM) algorithm. The PGPU has been shown to provide significant reductions in computation times for a variety of non-iterative algorithms. However the feasibility of implementing complex iterative algorithms within a programmable graphics pipeline has yet to be dete...
متن کاملCofactorization on Graphics Processing Units
We show how the cofactorization step, a compute-intensive part of the relation collection phase of the number field sieve (NFS), can be farmed out to a graphics processing unit. Our implementation on a GTX 580 GPU, which is integrated with a state-of-the-art NFS implementation, can serve as a cryptanalytic co-processor for several Intel i7-3770K quad-core CPUs simultaneously. This allows those ...
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: BMC Bioinformatics
سال: 2010
ISSN: 1471-2105
DOI: 10.1186/1471-2105-11-329