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PC
2010
190views Management» more  PC 2010»
13 years 6 months ago
High-performance cone beam reconstruction using CUDA compatible GPUs
Compute unified device architecture (CUDA) is a software development platform that allows us to run C-like programs on the nVIDIA graphics processing unit (GPU). This paper prese...
Yusuke Okitsu, Fumihiko Ino, Kenichi Hagihara
VLSID
2009
IEEE
177views VLSI» more  VLSID 2009»
14 years 8 months ago
Accelerating System-Level Design Tasks Using Commodity Graphics Hardware: A Case Study
Many system-level design tasks (e.g. timing analysis, hardware/software partitioning and design space exploration) involve computational kernels that are intractable (usually NP-ha...
Unmesh D. Bordoloi, Samarjit Chakraborty
PLDI
2012
ACM
11 years 10 months ago
Adaptive input-aware compilation for graphics engines
While graphics processing units (GPUs) provide low-cost and efficient platforms for accelerating high performance computations, the tedious process of performance tuning required...
Mehrzad Samadi, Amir Hormati, Mojtaba Mehrara, Jan...
IEEEHPCS
2010
13 years 6 months ago
Retargeting PLAPACK to clusters with hardware accelerators
Hardware accelerators are becoming a highly appealing approach to boost the raw performance as well as the price-performance and power-performance ratios of current clusters. In t...
Manuel Fogue, Francisco D. Igual, Enrique S. Quint...
HIPC
2007
Springer
14 years 2 months ago
Accelerating Large Graph Algorithms on the GPU Using CUDA
Abstract. Large graphs involving millions of vertices are common in many practical applications and are challenging to process. Practical-time implementations using high-end comput...
Pawan Harish, P. J. Narayanan