Beowulf Cluster Computing with Linux, Second Edition

Rating:
Summary: Disappointing. . .
Review: I seldom review books, but this one is so disappointing that I felt obligated too. The key thing to note about this book is that Thomas Sterling is not the author, but the "Editor" of the book. Sterling assembled a number of short, loosely related articles and tries to pass them off as a comprehensive book on beowulf clusters running on linux. This book offers no real guidance on building a beowulf cluster or working with an existing one. At best, this book only offers a very general overview of cluster computing.

Rating:
Summary: readable and informative beowulf resource
Review: I've read this book cover to cover, and then gone back to various parts throughout the course of building a large beowulf. It's the best resource I've found so far. I've recommended it other folks who have also had the same experience--it *explains* beowulfs in very clear and readable language. Excellent primer.

Rating:
Summary: Buyer beware
Review: My supervising professor bought this book for me to use in my senior project and I'm glad it wasn't my purchase. My major complaint is that the code examples in the PVM section are trash. I'm not sure if Al Geist (one of the co-authors of PVM) was rushed or thought that it would be good for students to find and correct errors in the code. Perhaps the best part of the book is Chapter 18 which details the experience at Argonne National Lab of setting up their (massive) cluster, Chiba City. There are many better books out there. Try Parallel Programming by Berry Wilkinson and Michael Allen, Parallel Programming with MPI by Peter Pacheco, or anything by William Gropp.

Rating:
Summary: Buyer beware
Review: My supervising professor bought this book for me to use in my senior project and I'm glad it wasn't my purchase. My major complaint is that the code examples in the PVM section are trash. I'm not sure if Al Geist (one of the co-authors of PVM) was rushed or thought that it would be good for students to find and correct errors in the code. Perhaps the best part of the book is Chapter 18 which details the experience at Argonne National Lab of setting up their (massive) cluster, Chiba City. There are many better books out there. Try Parallel Programming by Berry Wilkinson and Michael Allen, Parallel Programming with MPI by Peter Pacheco, or anything by William Gropp.