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Autonomous Experimentation is poised to revolutionize scientific experiments at advanced facilities worldwide. Whereas previously, human experimenters were burdened with the …
The hybrid/heterogeneous nature of future microprocessors and large high-performance computing systems will result in a reliance on two major types of components: …
Visualization and analysis tools, techniques, and algorithms have undergone a rapid evolution in recent decades to accommodate explosive growth in data size and complexity and to …
Few books comprehensively cover the software and programming aspects of reversible computing. Filling this gap, Introduction to Reversible Computing offers an expanded view of the …
Created to help scientists and engineers write computer code, this practical book addresses the important tools and techniques that are necessary for scientific computing, but …
Full of practical examples, Introduction to Scheduling presents the basic concepts and methods, fundamental results, and recent developments of scheduling theory. With …
Novel scalable scientific algorithms are needed to enable key science applications and to exploit the computational power of largescale systems. This is especially true for the …
"Ask not what your compiler can do for you, ask what you can do for your compiler."--John Levesque, Director of Cray’s Supercomputing Centers of ExcellenceThe next decade of …
The Future of Numerical ComputingWritten by one of the foremost experts in high-performance computing and the inventor of Gustafson’s Law, The End of Error: Unum Computing explains …