Odor magnitude: Coarse vs. fine grain

Te hnique Using Coarse - to - Fine Grain ModelingPawan

Deep Jam: Conversion of Coarse-Grain Parallelism to Fine-Grain and Vector Parallelism

A number of computational applications lack instruction-level parallelism. This loss is particularly acute on sequences of dependent instructions on wide-issue or deeply pipelined architectures. We consider four real applications from computational biology, cryptanalysis, and data compression. These applications are characterized by long sequences of dependent instructions, irregular control-fl...

Adaptive Granularity Transparent Integration of Fine Grain and Coarse Grain Communications

The granularity of sharing is one of the key components that a ect the performance in distributed shared memory DSM systems Providing only one or two xed size granu larities to the user may not result in an e cient use of resources Providing an arbitrarily variable granularity increases hardware and or software overheads Moreover its e cient implementation requires the user to provide some info...

Coarse Grain Reconfigurable Architectures

The paper gives a brief survey over a decade of R&D on coarse grain reconfigurable hardware and related compilation techniques and points out its significance to the emerging discipline of reconfigurable computing.

Coarse-grain Coherence Tracking