Andere Kunden interessierten sich auch für
![ALGORITHMS FOR RHOTRIX MULTIPLICATION ON 2-D PROCESS GRID TOPOLOGIES]( "ALGORITHMS FOR RHOTRIX MULTIPLICATION ON 2-D PROCESS GRID TOPOLOGIES")
ALGORITHMS FOR RHOTRIX MULTIPLICATION ON 2-D PROCESS GRID TOPOLOGIES51,99 €![RESILIENCE OF NETWORKED INFRASTRUCTURE SYSTEMS, THE]( "RESILIENCE OF NETWORKED INFRASTRUCTURE SYSTEMS, THE")
RESILIENCE OF NETWORKED INFRASTRUCTURE SYSTEMS, THE105,99 €![Principles of Embedded Networked Systems Design]( "Principles of Embedded Networked Systems Design")
Principles of Embedded Networked Systems Design89,99 €![Designing for Networked Communications]( "Designing for Networked Communications")
Designing for Networked Communications104,99 €![Load Balancing Challenges and Strategies in Computational Grid]( "Load Balancing Challenges and Strategies in Computational Grid")
Load Balancing Challenges and Strategies in Computational Grid22,99 €![High performance IP networks]( "High performance IP networks")
High performance IP networks36,99 €![On the Use of Context and Policies in Declarative Networked Systems]( "On the Use of Context and Policies in Declarative Networked Systems")
On the Use of Context and Policies in Declarative Networked Systems32,99 €
In this book, We propose an innovative high- performance platform to utilize reconfigurable processors in grid environments. Furthermore, we focus on the communication infrastructures and network processing (processing required for packets) platforms to utilize them through the grid environments. The collaboration of reconfigurable processors in a grid environment is presented and several compute-intensive multimedia kernels are simulated. Subsequently, we introduce three approaches to accelerate network processing tasks using Bloom filters in the networked and grid environments. The first and second techniques present a cache architecture for a counting Bloom filter (CCBF) and a memory optimization approach for Bloom filters using an additional hashing function (BFAH). The third technique proposes a power efficient pipelined Bloom filter. We present the results of our proposed approaches in collaboration of reconfigurable processors in grid computing (CRGC) and Bloom filters in network processing applications, e.g., packet classification.