Single processing operating system examples
We describe a prototype implementation of the platform, which was evaluated using two testbeds: (1) a heterogeneous compute and storage cluster that includes FPGAs and SSDs and (2) Grid'5000, a large-scale distributed testbed that spans France. We explain the architectural principles that underlie the HARNESS platform, including the separation of agnostic and cognizant resource management that allows the platform to be resilient to heterogeneity while leveraging its use.
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These applications often require acceleration of critical operations using devices such as FPGAs, GPGPUs, network middleboxes, and SSDs. We focus primarily on application domains that are currently not well supported by today's cloud providers, including the areas of scientific computing, business-analytics, and online machine learning. HARNESS is a next generation cloud-computing platform that offers commodity and specialized resources in support of large-scale data processing applications.
#SINGLE PROCESSING OPERATING SYSTEM EXAMPLES SOFTWARE#
Alexander Wolf, in Software Architecture for Big Data and the Cloud, 2017 Abstract Also presented are various compromises between flexible general-purpose processors and highly efficient dedicated architectures. These not only include iterative decomposition, pipelining, replication, time sharing, algebraic transforms, retiming, loop unfolding, and pipeline interleaving, but also bit-serial architectures, distributed arithmetic, and other not-so-common concepts. Almost all known methods for tailoring VLSI architectures to specific needs are then discussed and compared. We give a list of criteria that identify favorable situations and that help devise hardware-friendly processing algorithms. Depending on the details, a hardwired circuit may be orders of magnitude more efficient than a software running on a general-purpose microprocessor, both in terms of throughput and power dissipation.
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In Top-Down Digital VLSI Design, 2015 AbstractÄevising a suitable circuit architecture for a set of signal or data processing applications is one of the most exciting challenges for any VLSI designer.