Mesh simplification and mesh compression are important processes in computer graphics and scientific computing, as such contexts allow for a mesh which takes up less memory than the original mesh. Current simplification and compression algorithms do not take advantage of both the central processing unit (CPU) and the graphics processing unit (GPU). We propose three simplification algorithms, on...

Techniques for predicting the efficiency of multi-core processing associated with a set of tasks with varied CPU and main memory requirements are introduced. Prediction of CPU and memory availability is important in the context of making process assignment, load balancing, and scheduling decisions in distributed systems. Given a set of tasks each with varied CPU and main memory requirements, an...

High speed electronic devices generate more heat than other devices. This chapter is addressing the portable electronic device air cooling problem. The air cooling limitations is affecting the portable electronic devices. The Multi-Core CPUs will dominate the Mobile handsets Platforms in the coming few years. Advanced control techniques offer solutions for the central processing unit (CPU) dyna...

OVERVIEW The product versions supported by Oracle's Critical Patch Updates (CPU) are a subset of the certified versions, thus a certified version may not be supported by the latest CPU. This document highlights the differences between certified versions and January 2008 CPU supported versions. The significant changes to the version support matrices for the January 2008 CPU are – ORACLE DATABASE...

Present paper is the study about most of the CPU scheduling algorithms and its features. In this paper the compression between the algorithms on the same CPU is shown. Using this comparison one can easily understand that what is performing inside the CPU. The aim of this survey is to analyze that CPU scheduler which have maximum efficiency and may also satisfy all the objectives of the scheduling.

Developers of novel scientific computing systems are often eager to make their algorithms and databases available for community use, but their own computational resources may be inadequate to fulfill external user demand – yet the system’s footprint is far too large for prospective user organizations to download and run locally. Some heavyweight systems have become part of designated “centers” ...