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PC
2010
190views Management» more  PC 2010»
14 years 10 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»
16 years 7 days 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
13 years 2 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
14 years 10 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
15 years 5 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