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ASPLOS
2010
ACM
14 years 2 months ago
MacroSS: macro-SIMDization of streaming applications
SIMD (Single Instruction, Multiple Data) engines are an essential part of the processors in various computing markets, from servers to the embedded domain. Although SIMD-enabled a...
Amir Hormati, Yoonseo Choi, Mark Woh, Manjunath Ku...
CPHYSICS
2006
182views more  CPHYSICS 2006»
13 years 7 months ago
MinFinder: Locating all the local minima of a function
A new stochastic clustering algorithm is introduced that aims to locate all the local minima of a multidimensional continuous and differentiable function inside a bounded domain. ...
Ioannis G. Tsoulos, Isaac E. Lagaris
PPOPP
2009
ACM
14 years 8 months ago
Efficient and scalable multiprocessor fair scheduling using distributed weighted round-robin
Fairness is an essential requirement of any operating system scheduler. Unfortunately, existing fair scheduling algorithms are either inaccurate or inefficient and non-scalable fo...
Tong Li, Dan P. Baumberger, Scott Hahn
PEPM
2009
ACM
14 years 4 months ago
Self-adjusting computation: (an overview)
Many applications need to respond to incremental modifications to data. Being incremental, such modification often require incremental modifications to the output, making it po...
Umut A. Acar
SC
2009
ACM
14 years 5 days ago
GPU based sparse grid technique for solving multidimensional options pricing PDEs
It has been shown that the sparse grid combination technique can be a practical tool to solve high dimensional PDEs arising in multidimensional option pricing problems in finance...
Abhijeet Gaikwad, Ioane Muni Toke