Over three decades of parallel computing, new computational requirements and systems have steadily evolved, yet parallel software remains notably more difficult relative to its sequential counterpart, especially
The efficient usage of all the opportunities offered by modern computing systems represents a global challenge for the entire range of computer sciences. Tackling the capacity of parallel computing systems, supercomputer technologies and distributed computing requires new knowledge, skills and abilities. The...
As an alternative direction to the current deep learning paradigm, research into the so-called neuromorphic computing has been attracting significant interest9. Neuromorphic computing generally focuses on developing novel types of computing systems that operate at a fraction of the energy comparing against...
Traditional computing architectures do not support large-scale parallel computing of AI algorithms. In the future, a computing revolution will be required to accelerate AI computing processes. The focus of AI chip research has changed from GPUs and FPGAs to TPUs, and from non-customization to ...
Reliability of advanced deeply scaled CMOS technologies is being threatened by time-dependent degradation mechanisms such as Negative Bias Temperature Instability (NBTI) phenomenon that cause workload-dependent shifts on a transistor's threshold voltage (VTH), and performance during its lifetime. In ...
Massive Parallel Processing (MPP) and Symmetric Multi-Processing (SMP) systems are the two most common forms of parallel computing platforms [16]. In an SMP setup, multiple processors run the same Operating System (OS) concurrently while sharing the rest of the hardware’s capacity (e.g., di...
et al. Photonic information processing beyond turing: an optoelectronic implementation of reservoir computing. Opt. Expr. 20, 3241–3249 (2012). Article Google Scholar Vandoorne, K. et al. Parallel reservoir computing using optical amplifiers. IEEE Trans. Neural Netw. 22, 1469–1481 (2011). ...
IT may also deploy critical business applications in multiple clouds running in parallel, so if one cloud becomes unavailable, the other can pick up the workload. Access to best-of-breed services from different providers: A multicloud approach gives organizations the ability to choose the ...
Programmers of para... GWS Guy Blelloch - 《Journal of Parallel & Distributed Computing》 被引量: 387发表: 1988年 Parallel and Sequential Testing of Design Alternatives. :An important managerial problem in product design in the extent to which testing activities are carried out in parallel or ...
Technological advances enabling massively parallel measurement of biological features — such as microarrays, high-throughput sequencing and mass spectrometry — have ushered in the omics era, now in its third decade. The resulting complex landscape of analytical methods has naturally fostered the growth ...