Communication avoiding successive band reduction
Proceedings of the 17th ACM SIGPLAN symposium on Principles and Practice of Parallel Programming
Journal of Computational Physics
Minimizing the Data Transfer Time Using Multicore End-System Aware Flow Bifurcation
CCGRID '12 Proceedings of the 2012 12th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (ccgrid 2012)
Communication-optimal parallel algorithm for strassen's matrix multiplication
Proceedings of the twenty-fourth annual ACM symposium on Parallelism in algorithms and architectures
Power Modeling and Characterization of Computing Devices: A Survey
Foundations and Trends in Electronic Design Automation
Graph expansion and communication costs of fast matrix multiplication
Journal of the ACM (JACM)
Location, location, location: the role of spatial locality in asymptotic energy minimization
Proceedings of the ACM/SIGDA international symposium on Field programmable gate arrays
Research directions for 21st century computer systems: asplos 2013 panel
Proceedings of the eighteenth international conference on Architectural support for programming languages and operating systems
Holistic run-time parallelism management for time and energy efficiency
Proceedings of the 27th international ACM conference on International conference on supercomputing
Beyond reuse distance analysis: Dynamic analysis for characterization of data locality potential
ACM Transactions on Architecture and Code Optimization (TACO)
Communication costs of Strassen's matrix multiplication
Communications of the ACM
Is multicore hardware for general-purpose parallel processing broken?
Communications of the ACM
Hi-index | 0.04 |
The end of dramatic exponential growth in single-processor performance marks the end of the dominance of the single microprocessor in computing. The era of sequential computing must give way to a new era in which parallelism is at the forefront. Although important scientific and engineering challenges lie ahead, this is an opportune time for innovation in programming systems and computing architectures. We have already begun to see diversity in computer designs to optimize for such considerations as power and throughput. The next generation of discoveries is likely to require advances at both the hardware and software levels of computing systems. There is no guarantee that we can make parallel computing as common and easy to use as yesterday's sequential single-processor computer systems, but unless we aggressively pursue efforts suggested by the recommendations in this book, it will be "game over" for growth in computing performance. If parallel programming and related software efforts fail to become widespread, the development of exciting new applications that drive the computer industry will stall; if such innovation stalls, many other parts of the economy will follow suit. The Future of Computing Performance describes the factors that have led to the future limitations on growth for single processors that are based on complementary metal oxide semiconductor (CMOS) technology. It explores challenges inherent in parallel computing and architecture, including ever-increasing power consumption and the escalated requirements for heat dissipation. The book delineates a research, practice, and education agenda to help overcome these challenges. The Future of Computing Performance will guide researchers, manufacturers, and information technology professionals in the right direction for sustainable growth in computer performance, so that we may all enjoy the next level of benefits to society.