Cilk Programming And Algorithms
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Cilk Programming and Algorithms
"Cilk Programming and Algorithms" "Cilk Programming and Algorithms" is a comprehensive exploration of the theory, design, and practice of developing parallel software using Cilk. Beginning with the foundations, the book dives into the origins of Cilk, its innovative work-stealing execution model, and the essential language constructs that have made it a staple in the world of parallel programming. Readers will gain a thorough grounding in concurrency, determinism, and practical integration with C/C++ and compiler toolchains, accompanied by essential insights into profiling, debugging, and performance metrics for Cilk-based code. The text advances into sophisticated parallel algorithm design, unpacking divide-and-conquer patterns, fundamental map-reduce-scan operations, parallel sorting, dynamic programming, graph algorithms, and more—demonstrating Cilk’s capabilities in tackling complex computational challenges. A detailed focus on optimization strategies, task scheduling, load management, and the development of scalable concurrent data structures empowers programmers to engineer high-performance applications for many-core and heterogeneous architectures, all while minimizing bottlenecks and memory contention. Addressing the realities of contemporary development, the book provides essential guidance for integrating Cilk with modern software ecosystems, from cloud and distributed systems to GPU offloading and interoperability with leading parallel frameworks. Readers will also find robust methodologies for testing, verification, and debugging of parallel code, as well as in-depth coverage of Cilk extensions, recent research, and future trends. Real-world case studies illustrate Cilk’s impact across scientific computing, data analytics, AI, finance, and industry, making this volume an indispensable reference for both practitioners and researchers in the field of parallel programming.
Algorithms and Parallel Computing
There is a software gap between the hardware potential and the performance that can be attained using today's software parallel program development tools. The tools need manual intervention by the programmer to parallelize the code. Programming a parallel computer requires closely studying the target algorithm or application, more so than in the traditional sequential programming we have all learned. The programmer must be aware of the communication and data dependencies of the algorithm or application. This book provides the techniques to explore the possible ways to program a parallel computer for a given application.
Languages, Compilers, and Run-Time Systems for Scalable Computers
This book constitutes the strictly refereed post-workshop proceedings of the 4th International Workshop on Languages, Compilers, and Run-Time Systems for Scalable Computing, LCR '98, held in Pittsburgh, PA, USA in May 1998. The 23 revised full papers presented were carefully selected from a total of 47 submissions; also included are nine refereed short papers. All current issues of developing software systems for parallel and distributed computers are covered, in particular irregular applications, automatic parallelization, run-time parallelization, load balancing, message-passing systems, parallelizing compilers, shared memory systems, client server applications, etc.