Utilizing high speed computational methods to extrapolate to the rest of the protein universe, the knowledge accumulated on a subset of examples, protein bioinformatics seeks to accomplish what was impossible before its invention, namely the assignment of functions or functional hypotheses for all k
Handbook of parallel computing: models, algorithms and applications
β Scribed by Sanguthevar Rajasekaran, John Reif
- Publisher
- Chapman & Hall
- Year
- 2007
- Tongue
- English
- Leaves
- 1172
- Series
- Chapman & Hall/CRC Computer & Information Science Series
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
The ability of parallel computing to process large data sets and handle time-consuming operations has resulted in unprecedented advances in biological and scientific computing, modeling, and simulations. Exploring these recent developments, the Handbook of Parallel Computing: Models, Algorithms, and
<p>Parallel and distributed computation has been gaining a great lot of attention in the last decades. During this period, the advances attained in computing and communication technologies, and the reduction in the costs of those technoloΒ gies, played a central role in the rapid growth of the inter
ParCo2007 marks a quarter of a century of the international conferences on parallel computing that started in Berlin in 1983. The aim of the conference is to give an overview of the state-of-the-art of the developments, applications and future trends in high performance computing for all platforms.
This book presents major advances in high performance computing as well as major advances due to high performance computing. It contains a collection of papers in which results achieved in the collaboration of scientists from computer science, mathematics, physics, and mechanical engineering are pre