Intel Developer Zone Articles

31-Jul-2015
10:57 AM PDT
Intel® Parallel Computing Center at Indiana University
By adminPosted 07/31/20150
Principal Investigators: Judy Qiu is an assistant professor of Computer Science at Indiana University. Her general area of research is in data-intensive computing at the intersection of Cloud and HPC multicore technologies. This includes a specialization on programming models that support it...
31-Jul-2015
3:35 AM PDT
Intel® Parallel Computing Center at King Abdullah University of Science and Technology
By adminPosted 07/31/20150
Principal Investigators: David Keyes is a founding professor of Applied Mathematics and Computational Science at KAUST, where he focuses on high performance implementations of implicit methods for PDEs.  He received a BSE from Princeton and a PhD from Harvard. He has held faculty positions a...
31-Jul-2015
3:16 AM PDT
Intel® Parallel Computing Center at Princeton University, Princeton Neuroscience Institute and Computer Science Dept.
By adminPosted 07/31/20150
Principal Investigators: Kai Li is a professor at Computer Science Department of Princeton University. He pioneered Distributed Shared Memory allowing shared-memory programming on clusters of computers, which one the ACM SIGOPS Hall of Fame Award and proposed user-level DMA which evolved int...
30-Jul-2015
4:02 PM PDT
Intel® XDK FAQs - General
By Anusha Muthiah (Intel)Posted 07/30/20150
Frequently asked questions regarding Intel® XDK.
30-Jul-2015
1:12 PM PDT
Tuning Java* Garbage Collection for Spark* Applications
By Mike Pearce (Intel)Posted 07/30/20150
Spark is gaining wide industry adoption due to its superior performance, simple interfaces, and a rich library for analysis and calculation. Like many projects in the big data ecosystem, Spark runs on the Java Virtual Machine (JVM). Because Spark can store large amounts of data in memory, it has ...
30-Jul-2015
9:31 AM PDT
Statistical Analysis of Genome Sequencing Data with Intel® Reference Architecture
By Mike Pearce (Intel)Posted 07/30/20150
Next generation sequencing (NGS) technologies generate vast amounts of variant data, the analysis of which poses a big computational challenge. Numerous currently undertaken research efforts, such as population genetics studies or association studies, require computing various statistics and perf...
30-Jul-2015
9:22 AM PDT
Accelerating Secondary Genome Analysis Using Intel® Reference Architecture
By Mike Pearce (Intel)Posted 07/30/20150
The dramatic reduction in whole human genome sequencing costs, from USD 100 million per genome in 2001 to USD 4,500 per genome in 2014, combined with the increasing performance gains in computing technology, are revitalizing the healthcare and life sciences industries in ways only imagined a few ...
29-Jul-2015
3:29 PM PDT
Using OpenCL™ 2.0 Read-Write Images
By Oludemilade R. (Intel)Posted 07/29/20150
Acknowledgements We want to thank Javier Martinez, Kevin Patel, and Tejas Budukh for their help in reviewing this article and the associated sample. Introduction Prior to OpenCL™ 2.0, there was no ability to read and write to an image within the same kernel. Images could always be declared as ...
29-Jul-2015
11:26 AM PDT
How to use the Intel® Cluster Checker v3 SDK with gcc5
By Andreas Hirstius (Intel)Posted 07/29/20150
When compiling connector extensions in the Intel® Cluster Checker v3 SDK it is recommended to use an Intel compiler version 15.0 or newer and a gcc/g++ compiler version 4.9.0 or newer, as described in the Intel® Cluster Checker developer's Guide. This explicitly includes gcc version 5.1.0 and new...
29-Jul-2015
7:11 AM PDT
How to use the Intel® Cluster Checker v3 SDK on a cluster using multiple Linux Distributions
By Andreas Hirstius (Intel)Posted 07/29/20150
Linux based HPC clusters can use different Linux distributions or different versions of a given Linux distribution for different types of nodes in the HPC cluster. When the Linux distribution on which the connector extension has been built uses a glibc version 2.14 or newer and the Linux distrib...
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