Scaling bioinformatics applications on HPC
نویسندگان
چکیده
منابع مشابه
A Self-adaptive Auto-scaling Method for Scientific Applications on HPC Environments and Clouds
High intensive computation applications can usually take days to months to finish an execution. During this time, it is common to have variations of the available resources when considering that such hardware is usually shared among a plurality of researchers/departments within an organization. On the other hand, High Performance Clusters can take advantage of Cloud Computing bursting technique...
متن کاملScaling Support Vector Machines on modern HPC platforms
Support Vector Machines (SVM) have been widely used in data-mining and Big Data applications as modern commercial databases start to attach an increasing importance to the analytic capabilities. In recent years, SVM was adapted to the field of High Performance Computing for power/performance prediction, auto-tuning, and runtime scheduling. However, even at the risk of losing prediction accuracy...
متن کاملMPI Streams for HPC Applications
Data streams are a sequence of data flowing between source and destination processes. Streaming is widely used for signal, image and video processing for its efficiency in pipelining and effectiveness in reducing demand for memory. The goal of this work is to extend the use of data streams to support both conventional scientific applications and emerging data analytic applications running on HP...
متن کاملPerformance Modeling of HPC Applications
Performance models of applications enable HPC system designers and centers to gain insight into the most optimal hardware for their applications, giving them valuable information into the components of hardware (for example processors or network) that for a certain investment of time/money will give the most bene t for the applications slated to run on the new system. The task of developing acc...
متن کاملCharacterization of Bioinformatics Applications on Multimedia Processor
The explosive growth in size of genomic data and increase in computational complexity of bioinformatics applications has fueled the issue of appropriate underlying hardware architecture choice. Another impediment is the latest trend towards handheld/mobile bio-computational devices. One of the most critical factors holding back mobile computing is the perfect match between hardware architecture...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: BMC Bioinformatics
سال: 2017
ISSN: 1471-2105
DOI: 10.1186/s12859-017-1902-7