Energy Savings with Appropriate Interconnection Networks in Parallel DSP

Using the Multistage Cube Network Topology in Parallel Supercomputers. in Interconnection Networks for Large-scale Parallel Processing

Ultra-Low-Energy DSP Processor Design for Many-Core Parallel Applications

Background and Objectives: Digital signal processors are widely used in energy constrained applications in which battery lifetime is a critical concern. Accordingly, designing ultra-low-energy processors is a major concern. In this work and in the first step, we propose a sub-threshold DSP processor. Methods: As our baseline architecture, we use a modified version of an existing ultra-low-power...

New Interconnection Networks: a Survey

Interconnection plays a vital role in Massively Parallel Processing (MPP) system by providing communication among active processing elements. Several interconnection networks have been proposed in literature, however, a very few have been implemented in reality due to various issues such as scalability, latency, communication locality etc. In recent year several new interconnection networks bei...

Area Energy and Throughput Targeting in Debottlenecking of Heat Exchanger Networks with Decomposition Approach

For energy saving retrofit projects, its economics are usually evaluated in terms of capital investment and payback time. The capital investment is in direct relation to the total heat recovery area of the network and the payback time factor is base on both the area and the energy savings. The debottlenecking is an increased throughput, which can be profitable in economic sense. The combination...

Performance Analysis of a New Neural Network for Routing in Mesh Interconnection Networks

Routing is one of the basic parts of a message passing multiprocessor system. The routing procedure has a great impact on the efficiency of a system. Neural algorithms that are currently in use for computer networks require a large number of neurons. If a specific topology of a multiprocessor network is considered, the number of neurons can be reduced. In this paper a new recurrent neural ne...