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As the number of on-die transistors continues to grow, new computing models are needed to utilize this growing compute capacity despite a clock-frequency scaling wall, and relatively sluggish improvements in I/O bandwidth. The spatial compute and programming model, as introduced by the OpenSPL [1] specification, provides a method for taking advantage of compute capacity offered by current and trending...
IBM introduces POWER8, the first generation of systems built with open innovation to put data to work; systems designed for big data, optimized to deliver superior cloud economics and an open innovation platform at the heart of the open collaborative community revolutionizing the way IT is created and consumed.
The memory system is a fundamental performance and energy bottleneck in almost all computing systems. Recent system design, application, and technology trends that require more capacity, bandwidth, efficiency, and predictability out of the memory system make it an even more important system bottleneck. At the same time, DRAM technology is experiencing difficult technology scaling challenges that make...
Text analytics systems, such as IBM's SystemT software, rely on regular expressions (regexs) and dictionaries for transforming unstructured data into a structured format. Unlike network intrusion detection systems, text analytics systems compute and report precisely where the specific and sensitive information starts and ends in a text document. Therefore, advanced regex matching functions, such as...
The design and implementation of the k-means clustering algorithm on an FPGA-accelerated computer cluster is presented. The implementation followed the map-reduce programming model, with both the map and reduce functions executing autonomously to the CPU on multiple FPGAs. A hardware/software framework was developed to manage gateware execution on multiple FPGAs across the cluster. Using this k-means...
Singular Value Decomposition (SVD) is a key linear algebraic operation in many scientific and engineering applications. In particular, many computational intelligence systems rely on machine learning methods involving high dimensionality datasets that have to be fast processed for real-time adaptability. In this paper we describe a practical FPGA (Field Programmable Gate Array) implementation of a...
Today's embedded systems require resource-aware acceleration engines, which support advanced cryptographic algorithms such as elliptic-curve cryptography (ECC). The authors present an application-specific co-processor for digital signature verification according to the Elliptic Curve Digital Signature Algorithm (ECDSA) based on the NIST B-233 standard. A novel OpenRISC-ISA (instruction-set architecture)...
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