Hatem LTAIEF a,2, Piotr LUSZCZEK b, Azzam HAIDAR b and Jack DONGARRA b a KAUST Supercomputing Laboratory, Thuwal, Saudi Arabia E-mail: [email protected] b Innovative Computing Laboratory, University of Tennessee, Knoxville TN USA Email: luszczek,haidar,[email protected] c Computer Science and Mathematics Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee d School of Mathe...

OF THE DISSERTATION Speculative Parallelization on Multicore Processors

Online learning algorithms have impressive convergence properties when it comes to risk minimization and convex games on very large problems. However, they are inherently sequential in their design which prevents them from taking advantage of modern multi-core architectures. In this paper we prove that online learning with delayed updates converges well, thereby facilitating parallel online lea...

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Problem and Motivation With Dennard scaling [20] at an end, chip-level performance scaling is heavily dependent on both parallelism (multicore and other dimensions) as well as customization [25]. These techniques can deliver increased energy efficiency, the key to continued performance growth. However, one major challenge in the path forward is to effectively balance general-purpose coverage, c...

It is likely that 2005 will be viewed as the year that parallelism came to the masses, with multiple vendors shipping dual/multi-core platforms into the mainstream consumer and enterprise markets. Assuming that this trend will follow Moore's Law scaling, mainstream systems will contain over 10 processing cores by the end of the decade, yielding unprecedented theoretical peak performance. Howeve...

Description Package minPtest is designed for estimating a gene region-level summary for SNP data from case-control studies using a permutation-based resam-pling method, called min P test,allowing execution on a compute cluster or multicore computer.

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We present an approach for generating implementations of abstraction layers implementing the communication infrastructure of applications modeled as process networks. Our approach is unique in that it does not rely on assumptions about the capabilities and topology of the underlying platform. Instead, a generic implementation is adapted to the particular platform based on information retrieved ...