In this paper a novel technique for resource-constrained loop pipelining is presented. RCLP is based on several dependence graph operations: loop unrolling, operation retiming, resource-constrained scheduling, and span reduction. All these operations are focused to nd a minimum length schedule able to be executed with a limited number of resources and thus maximizing resource utilization. The r...

Software pipelining is a widespread technique to nd an instruction-level parallel schedule for loops. Reducing execution time often results in an increasing demand of resources to execute the loop operations and to store variables. This paper presents a new technique to reduce the register pressure generated by pipelined schedules. The technique nds a new schedule aiming at reducing the number ...

In this project, we present an adaptive body biasing scheme for standby leakage reduction in the cache memories. During standby, the memory cells are in reverse body bias mode while during active mode a selected portion of the memory cells are driven to zero body bias. The main advantage of this scheme is zero delay penalty when compared to conventional design because of the fact that the cells...

Fast variability of optical objects is an interesting though poorly explored subject in modern astronomy. Realtime data processing and identification of transient celestial events in the images is very important for such study as it allows rapid follow-up with more sensitive instruments. We discuss an approach which we have developed for the RAPTOR project, a pioneering closed-loop system combi...

The Ribosomal Database Project (RDP) provides researchers with quality-controlled bacterial and archaeal small subunit rRNA alignments and analysis tools. An improved alignment strategy uses the Infernal secondary structure aware aligner to provide a more consistent higher quality alignment and faster processing of user sequences. Substantial new analysis features include a new Pyrosequencing P...

Increasing exploitation of Instruction Level Parallelism has been the key to high-performance computing in the past few decades. One of the most critical roadblocks to this parallelism is the presence of branches. Branches (both conditional and un-conditional) redirect the stream of instructions resulting in dead cycles in the front-end of the pipeline. In super-pipelined and superscalar archit...

Massively parallel sequencing technology and the associated rapidly decreasing sequencing costs have enabled systemic analyses of somatic mutations in large cohorts of cancer cases. Here we introduce a comprehensive mutational analysis pipeline that uses standardized sequence-based inputs along with multiple types of clinical data to establish correlations among mutation sites, affected genes a...

ProXL is a Web application and accompanying database designed for sharing, visualizing, and analyzing bottom-up protein cross-linking mass spectrometry data with an emphasis on structural analysis and quality control. ProXL is designed to be independent of any particular software pipeline. The import process is simplified by the use of the ProXL XML data format, which shields developers of data...

We present the data reduction pipeline for the Herschel Infrared Galactic Plane survey (HiGAL). Hi-GAL is a key project of the Herschel satellite, which is mapping the inner part of the Galactic plane (|l| ≤ 70◦ and |b| ≤ 1◦), using two Photodetector Array Camera and Spectrometer (PACS) and three Spectral and Photometric Imaging Receiver (SPIRE) frequency bands, from 70 to 500 μm. Our pipeline ...

The visualisation strand of the e-Demand project is working to distribute the visualisation pipeline across the Grid, allowing visualisations to be composed as needed. The traditional visualisation pipeline concept is maintained by providing an ability to divide a visualisation into its component parts and then built upon by allowing each of these parts to be deployed on an appropriate grid res...