CE290M - Topics in Parallel Computation
Books

Do not remove these books from 316. Please return to shelf.

• Almasi and Gottlieb, Highly Parallel Computing. Good overview of recent parallel computing projects.
• Codenotti and Leoncini, Introduction to Parallel Processing. More theory than Quinn.
• Cosnard and Trystram, ``Parallel Algorithms and Architectures.'' Detailed exact algorithm analysis of many numerical algorithms.
• Foster, Designing and Building Parallel Programs. Programming languages and course-grain computation. http://www.hitex.com/dbpp. CE290M S96.
• Hughey, Programmable Systolic Arrays. A definitive work with particularly excellent typesetting.
• Hwang and Xu, Scalable Parallel Computing, 1998. Hwang's third book, dropping nearly all discussion of vector and SIMD computing. Focus is on clusters and large MIMD systems for database/business applications.
• Hwang, Advanced Computer Architecture. Lots of technical detail on parallel processors, but often straight from the sales literature. CE220 S97, S93 (beta, ugh!).
• Kumar, Grama, Gupta, and Karypis, Introduction to Parallel Computing. Course text.
• Moldovan, Parallel Processing: From Applications to Systems. Excellent on mapping loops to array processors. CE220 S95.
• Petkov, Systolic Parallel Processing. Excellent survey of algorithms for array processors (such as Kestrel and the MasPar).
• Quinn, Parallel Computing: Theory and Practice. Similar to our text with a little more theory but less breadth.
• Skillicorn and Talia, ed., Programming Languages for Parallel Processing
• Smith, The Design and Analysis of Parallel Algorithms. Strong on numeric and graph algorithms, with proofs. Data-parallel computation. CE290M S94.
• Proceedings of ASAP (1992, 1993, 1994, 1995, 1996, 1997). A good place to look for additional algorithms ideas.