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Computer Systems
For Computer Systems, Computer Organization and Architecture courses in CS, EE, and ECE departments. Few students studying computer science or computer engineering will ever have the opportunity to build a computer system. On the other hand, most students will be required to use and program computers on a near daily basis. Computer Systems: A Programmer's Perspective introduces the important and enduring concepts that underlie computer systems by showing how these ideas affect the correctness, performance, and utility of application programs. The text's hands-on approach (including a comprehensive set of labs) helps students understand the under-the-hood operation of a modern computer system and prepares them for future courses in systems topics such as compilers, computer architecture, operating systems, and networking.
IWarp
This book describes the complete iWarp system, from instruction-level parallelism to final parallel applications. The authors present a range of issues that must be considered to get a real system into practice. foreword by Gordon Bell and afterword by H.T. Kung Although researchers have proposed many mechanisms and theories for parallel systems, only a few have actually resulted in working computing platforms. The iWarp is an experimental parallel system that was designed and built jointly by Carnegie Mellon University and Intel Corporation. The system is based on the idea of integrating a VLIW processor and a sophisticated fine-grained communication system on a single chip. This book describes the complete iWarp system, from instruction-level parallelism to final parallel applications. The authors present a range of issues that must be considered to get a real system into practice. They also provide a start-to-finish history of the project, including what was done right and what was done wrong, that will be of interest to anyone who studies or builds computer systems.
Computer Science Programming Basics in Ruby
If you know basic high-school math, you can quickly learn and apply the core concepts of computer science with this concise, hands-on book. Led by a team of experts, you’ll quickly understand the difference between computer science and computer programming, and you’ll learn how algorithms help you solve computing problems. Each chapter builds on material introduced earlier in the book, so you can master one core building block before moving on to the next. You’ll explore fundamental topics such as loops, arrays, objects, and classes, using the easy-to-learn Ruby programming language. Then you’ll put everything together in the last chapter by programming a simple game of tic-tac-toe. ...
The Mission Primer
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From Engineer to Manager
If you are looking for a lively, down-to-earth experience in the journey to innovative engineering management, this is definitely the book for you. The author's 20-plus year perspective indicates that, while most engineers will spend the majority of their careers as managers, most are dissatisfied with the transition. Much of this frustration is the result of lack of preparation and training. This book gives you a solid grounding in the critical attitudes and principles needed for success.
Parallel and Distributed Processing
This book constitutes the refereed proceedings of 11 IPPS/SPDP '98 Workshops held in conjunction with the 13th International Parallel Processing Symposium and the 10th Symposium on Parallel and Distributed Processing in San Juan, Puerto Rico, USA in April 1999. The 126 revised papers presented were carefully selected from a wealth of papers submitted. The papers are organised in topical sections on biologically inspired solutions to parallel processing problems: High-Level Parallel Programming Models and Supportive Environments; Biologically Inspired Solutions to Parallel Processing; Parallel and Distributed Real-Time Systems; Run-Time Systems for Parallel Programming; Reconfigurable Architectures; Java for Parallel and Distributed Computing; Optics and Computer Science; Solving Irregularly Structured Problems in Parallel; Personal Computer Based Workstation Networks; Formal Methods for Parallel Programming; Embedded HPC Systems and Applications.
Languages, Compilers, and Run-Time Systems for Scalable Computers
This book constitutes the strictly refereed post-workshop proceedings of the 5th International Workshop on Languages, Compilers, and Run-Time Systems for Scalable Computing, LCR 2000, held in Rochester, NY, USA in May 2000. The 22 revised full papers presented were carefully reviewed and selected from 38 submissions. The papers are organized in topical sections on data-intensive computing, static analysis, openMP support, synchronization, software DSM, heterogeneous/-meta-computing, issues of load, and compiler-supported parallelism.
Algorithm Theory - SWAT 2000
This book constitutes the refereed proceedings of the 7th Scandinavian Workshop on Algorithm Theory, SWAT 2000, held in Bergen, Norway, in July 2000. The 43 revised full papers presented together with 3 invited contributions were carefully reviewed and selected from a total of 105 submissions. The papers are organized in sections on data structures, dynamic partitions, graph algorithms, online algorithms, approximation algorithms, matchings, network design, computational geometry, strings and algorithm engineering, external memory algorithms, optimization, and distributed and fault-tolerant computing.
Languages and Compilers for Parallel Computing
This book constitutes the thoroughly refereed post-proceedings of the 14th International Workshop on Languages and Compilers for Parallel Computing, LCPC 2001, held in Lexington, KY, USA, in August 1-3, 2001. The 28 revised full papers presented were carefully selected during two rounds of reviewing and improvement. All current issues in parallel processing are addressed, in particular compiler optimization, HP Java programming, power-aware parallel architectures, high performance applications, power management of mobile computers, data distribution, shared memory systems, load balancing, garbage collection, parallel components, job scheduling, dynamic parallelization, cache optimization, specification, and dataflow analysis.
Middleware 2010
We are pleased to welcome you to the eleventh edition of the Middleware c- ference. The program this year is a sign of the robustness, activity, and cont- ued growth of the Middleware community. As computing technology around us has evolved rapidly over the past decade, our notions of middleware have also adapted so that we stay focused on the most challenging and relevant problems for the present and future. As a result, this year’s program features papers that belong to both tra- tional areas as well as new directions. Cloud computing, social middleware, and transactional memory are some of the vanguard areas that you will ?nd in this year’s selection of papers. In addition, topics tha...
