Energy-efficient high-performance parallel and distributed computing

Current Trends in High Performance Parallel and Distributed Computing

Parallel computing for high performance scientific applications gained widespread adoption and deployment about two decades ago. Computer systems based on shared memory and message passing parallel architectures were soon followed by clusters and loosely coupled workstations, that afforded flexibility and good performance for many applications at a fractional cost of MPP’s. Such platforms, refe...

High-performance and Energy-efficient Heterogeneous Subword Parallel Instructions

High instruction throughput and energy efficiency are becoming increasingly important design requirements for embedded and mobile computing systems. This paper presents tlie Quantized Color Pack extension (QCPX) ISA to improve execution performance of multimedia processing applications on programmable superscalar processors while reducing the energy consumption for these applications. QCPX expl...

A High Performance Parallel IP Lookup Technique Using Distributed Memory Organization and ISCB-Tree Data Structure

The IP Lookup Process is a key bottleneck in routing due to the increase in routing table size, increasing traıc and migration to IPv6 addresses. The IP address lookup involves computation of the Longest Prefix Matching (LPM), which existing solutions such as BSD Radix Tries, scale poorly when traıc in the router increases or when employed for IPv6 address lookups. In this paper, we describe a ...

A High Performance Parallel IP Lookup Technique Using Distributed Memory Organization and ISCB-Tree Data Structure

The IP Lookup Process is a key bottleneck in routing due to the increase in routing table size, increasing traıc and migration to IPv6 addresses. The IP address lookup involves computation of the Longest Prefix Matching (LPM), which existing solutions such as BSD Radix Tries, scale poorly when traıc in the router increases or when employed for IPv6 address lookups. In this paper, we describe a ...

Energy-efficient Resource Management for High-performance Computing Platforms