9%
12.08.2015
in the name of better performance. Meanwhile, applications and tools have evolved to take advantage of the extra hardware, with applications using OpenMP to utilize the hardware on a single node or MPI to take
11%
16.07.2015
Programmers use a number of compilers, libraries, MPI libraries/tools, and other tools to write applications. For example, someone might code with OpenACC, targeting GPUs and Fortran, whereas another person
10%
16.06.2015
.g., a message-passing interface [MPI] library or libraries, compilers, and any additional libraries needed by the application). Perhaps surprisingly, the other basic tools are almost always installed by default
9%
16.04.2015
on its laptops that allows the software to steal web traffic using man-in-the-middle attacks.
When you use an encrypted filesystem or SEDs, all
of the data is encrypted. However, if you forget
10%
12.03.2015
definitely stress the processor(s) and memory, especially the bandwidth. I would recommend running single-core tests and tests that use all of the cores (i.e., MPI or OpenMP).
A number of benchmarks
9%
08.08.2014
Analytics libraries
R/parallel
Add-on package extends R by adding parallel computing capabilities
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2557021/
Rmpi
Wrapper to MPI
9%
18.06.2014
.tar.gz 8,473,315
#3 /home/laytonjb/LAPTOP/CLUSTERBUFFER/STRACE_PY/EXAMPLES/23andme-jeff-runs/all2/strace.26702.call_variants_1.out 6,155,298
#4 /home/laytonjb/CLUSTERBUFFER2/STRACE_PY/EXAMPLES/23
9%
12.03.2014
In an age when laptops are more powerful and offer more features than high-performance servers of only a few years ago, whole groups of developers are discovering new opportunities in their data
9%
15.01.2014
(MPI), provisioning, and monitoring can also limit the data received and frequency at which it is gathered. As previously mentioned, oversubscribed networks are another source of bottlenecks, so you need
12%
10.09.2013
domains. Assuming that your application is scalable or that you might want to tackle larger data sets, what are the options to move beyond OpenMP? In a single word, MPI (okay, it is an acronym). MPI