We discuss the design of energy-efficient pipelines for asynchronous VLSI architectures. To maximize throughput in asynchronous pipelines it is often necessary to insert buffer stages, increasing the energy overhead. Instead of optimizing pipelines for minimum energy or maximum throughput, we consider a joint energy-time metric of the form E , where E is the energy per operation and is the time...

The complexity of parallel programming greatly limits the effectiveness of chip-multiprocessors (CMPs). This paper presents the case for task superscalar pipelines, an abstraction of traditional out-of-order superscalar pipelines, that orchestrates an entire chip-multiprocessor in the same degree out-of-order pipelines manage functional units. Task superscalar leverages an emerging class of tas...

The Capsule Pipeline Research Center (CPRC) at the University of Missouri-Columbia is a State/Industry University Cooperative Research Center (S/IUCRC) funded by the National Science Foundation (NSF). The purpose of CPRC is to conduct extensive research and development in the capsule pipeline technology for transportation of coal, solid waste, grain, mail and many other types of freight. The Ce...

Scale deposits can reduce equipment efficiency in the oil and petrochemical industry. The gamma attenuation technique be used as a non-invasive effective tool for detecting scale petroleum pipelines. goal of this study is to propose dual-energy method with radial basis function neural network (RBFNN) determine thickness pipelines which two-phase flows different symmetrical flow regimes void fra...

Pipelines that operate on buffers often work well to mitigate the high latency inherent in interprocessor communication and in accessing data on disk. Running a single pipeline on each node works well when each pipeline stage consumes and produces data at the same rate. If a stage might consume data faster or slower than it produces data, a single pipeline becomes unwieldy. We describe how we h...

We present approaches for exploiting data parallelism in XML processing pipelines through novel compilation strategies to the MapReduce framework. Pipelines in our approach consist of sequences of processing steps that consume XML-structured data and produce, often through calls to “black-box” functions, modified (i.e., updated) XML structures. Our main contributions are a set of strategies for...

Genomic pipelines consist of several pieces of third party software and, because of their experimental nature, frequent changes and updates are commonly necessary thus raising serious deployment and reproducibility issues. Docker containers are emerging as a possible solution for many of these problems, as they allow the packaging of pipelines in an isolated and self-contained manner. This make...

Delivering revenue, logistics and sustainability in challenging locations

Abstract Pipelines have traditionally been recognized as the most cost-effective and safe mode for transporting natural gas. However, since a tremendous amount of gas is transported through pipelines, massive investment required to construct operate pipeline networks. The oil-and-gas sector has embraced optimization because its potential cut down costs significantly. inclusion several variables...

Targeted metagenomics, also known as metagenetics, is a high-throughput sequencing application focusing on a nucleotide target in a microbiome to describe its taxonomic content. A wide range of bioinformatics pipelines are available to analyze sequencing outputs, and the choice of an appropriate tool is crucial and not trivial. No standard evaluation method exists for estimating the accuracy of...