Abstract not found

from a performance perspective. Finally, we describe the middleware challenges implied by the approach and an architecture for grid computing using virtual machines.

, cost, and power models, to quantitatively characterize bottlenecks. Second, we study a new solution that incorporates volume nonserver-class components in novel packaging solutions, with memory sharing and flash-based disk caching. Our results show that this approach has promise, with a 2X improvement

-regulatory region. The architectures that emerge are naturally modular and evolvable. Our results suggest that the transcription regulatory apparatus is a ''programmable'' computing machine, belonging formally to the class of Boltzmann machines. Crucial to our results is the ability to regulate

tract directions is nonuniform. Moreover, background noise in diffusionweighted MRIs can cause a computed trajectory to hop from tract to tract. Still, this method can provide quantitative information with which to visualize and study connectivity and continuity of neural pathways in the central

As the field of neural-networks matures toward real-world applications, a strong need for hardware systems to efficiently compute larger network arises. Comparisons between neural-networks dedicated platforms are often fragmentary or qualitative. An architectural level evaluation scheme

of instruction set design and the principles and operation of pipelined processorsBibliography The main course text is: Computer architecture- a quantitative approach, Hennessy &

be modified dynamically at run-time to match the precision of the operands. Though the advantages of reconfigurable architectures for dynamic precision have been discussed before, we are not aware of any work which analyzes the qualitative and quantitative benefits which can be achieved. This paper develops a

Somewhat surprisingly datapaths often contain many simple cells – latches to stage data (especially in a pipelined machine) and tristate drivers to drive the bus lines. But these cells are pretty simple. Since these units implement the dataflow portion of an algorithm, they tend to operate

. COMAs were shown to have superior performance over alternative shared memory architectures in a quantitative analytical performance study. The implementation proposal for the DDM has been simulated with good performance results. Two optimization techniques have also been proposed; ha...