Acumem is a leading provider of intelligent software technology
which analyzes and optimizes the computing performance in single- and
multi core environments.
Our goal is to contribute to our customers success in maximizing
the benefits of multicore technology, achieving the full potential of
their systems.
At Pantor we use SlowSpotter to quickly gain a thorough understanding
of code performance qualities. We also use SlowSpotter on a regular
basis to alert us of harmful code and to quickly catch performance
regressions. It improves performance work productivity by offering
unique insight into these problems.
I first tried Acumem SlowSpotter on some highly optimized code. ...
No other tool would
have managed to pinpoint [the remaining] problem in such an obvious and intuitive
manner!
Jeffrey M. Birnbaum
Chief Architect, Merrill Lynch
Any tool that lowers the barrier to taking advantage of these [multi-core] processors is going to be critical. It's clear that this focus on memory bandwidth is going to go far beyond HPC. To me that's huge.
Josh Simons
Distinguished engineer at Sun Microsystems
... HP's Multicore Toolkit used in
conjunction with Acumem SlowSpotter, offers customers a complete
multicore hardware and software solution that maximizes application
performance ...
Ed
Turkel
Manager
of HPC Product Marketing for HP's Scalable Computing and
Infrastructure Organization
Our performance experts ... use [Acumem SlowSpotter] to find and fix multicore
performance bottlenecks in a wide range of data-intensive applications.
Bjorn Andersson
Director, HPC and Integrated Systems, SUN Microsystems
With Acumems performance tools programmers can increase
the performance of their application with basically zero ramp up time. The
intuitive user interface and the concrete advice pointing you to the source
code line in questions ensures high productivity and very quick payback of your
invested time.
This tutorial shows how an application is optimized with
Acumem ThreadSpotter in only 30 minutes.
Multigrid and Gauss-Seidel smoothers revisited: Parallelization on chip multiprocessors
by
Dan Wallin, Henrik Löf, Erik Hagersten, and Sverker Holmgren. In Proc.
20th ACM International Conference on Supercomputing, ACM Press, New
York, pp 145-155, 2006.