Titlebook: High Performance Computing; International Sympos Constantine Polychronopoulos,Kazuki Joe,Makoto Ama Conference proceedings 1997 Springer-Ve

Anthrp

High performance distributed object systems, problem of designing a software component architecture that extends the current emerging desktop object composition models to the domain of high performance networks and massively parallel compute servers.

Creatinine-Test

LUDE

陳舊

High-performance computing and applications in image processing and computer vision,d computer vision. Most image processing algorithms can readily exploit SIMD (Single Instruction, Multiple Data Stream) machine architectures. The mapping of these algorithms to such machines is rather straightforward. The fine granularity parallelism and regular data units are inherent in the natur

confederacy

assail

Evaluation of multithreaded processors and thread-switch policies,or on-line transaction processing systems. It considers the effect of switching threads on cache misses in a two-level cache system. It also examines several different thread-switch policies. The results suggest that multithreading with a small number (3–5) of active threads can significantly improv

死貓他燒焦

A multithreaded implementation concept of prolog on Datarol-II machine,s introduced which was developed for implementing Prolog on massively parallel computers. The Logicflow is a dataflow-like graph in which nodes are macro dataflow nodes and tokens represent macrothreads. The Datarol-II architecture efficiently supports both the management of macrothreads derived fro

IRK

Thread Synchronization Unit (TSU): A building block for high performance computers, architectures built with control-flow (i.e. commodity) microprocessors. The TSU design is based on the Decoupled Data-Driven model of execution. This model decouples the synchronization from the computation portions of a program and allows them to execute asynchronously. At compile time a program i

gonioscopy

Data dependence path reduction with tunneling load instructions,er to hide the load latency, and thus reduces the length of the data dependence path. True data dependences can not be removed by any techniques such as register renaming, and are the unavoidable obstacle limiting the instruction level parallelism. The length of the data dependence path including th

Lamina