November 17, 2008
UPPSALA, Sweden, Nov. 17 -- Acumem, a provider of intelligent software for single- and multicore environments, became an ISV partner in Microsoft's High Performance Computing (HPC) Partner Program.
Being a part of Microsoft's HPC Partner Program certifies that all Acumem solutions will have full support for Windows HPC Server 2008 and other Windows operating systems. The partnership will give all Windows programmers access to Acumem's unique portfolio of performance tools for optimizing applications for both single and multicore environments.
"We are excited about this partnership as it dramatically broadens the number of programmers that can benefit from our solutions. Microsoft has shown their commitment to enable their users access to the latest software technology for multicore," says Mats Hovmoller, CEO at Acumem. "We are particularly happy to be part of the Windows HPC Server 2008 launch."
"At Microsoft, we are committed to having the best solutions for our users. Acumem's tools give an additional opportunity for performance optimization which is critical in the HPC space." says Vince Mendillo, director of HPC marketing at Microsoft. "Multicore is an important area for Microsoft and adding tools in this area is a natural path forward."
Acumem's technology allows programmers to optimize code for the multicore paradigm shift and hence enables owners of systems and applications to get the best performance from their multicore system. The target users of the tools are programmers, both optimization experts and non-expert, whereas the customers and stakeholders benefitting from the results are also found among system owners, development managers and performance evaluators, etc. Through the identification of SlowSpots, Acumem's tools help programmers to go directly to the parts of the code where improvement potential exists without any need to go through thousands of lines of code and vast amounts of data. Acumem SlowSpotter has proven to increase throughput in many applications by a factor of five, improving general scalability, saving processor cycles and decreasing power consumption.
At Supercomputing 2008 in Austin, Acumem will show the Windows version of Acumem SlowSpotter in Hewlett Packard's booth (1518) in addition to Acumem's own booth (2313).
Acumem is a provider of intelligent software which analyzes and optimizes the computing performance in single- and multicore environments. Acumem contributes to their customers' success in maximizing the benefits of multicore technology, achieving the full potential of their systems. Acumem has partnership with leading companies in the multicore market such as HP, Sun and AMD. Acumem is a privately held company based in Uppsala, Sweden, with sales office in Boston. www.acumem.com.
SlowSpotter identifies an application's slowspots, i.e., parts of the code which can be improved to run faster. For each slowspot, its location in the source code is identified, fixes for how it can be avoided is suggested and its overall importance for application improvement is presented. Through a user friendly User Interface hands on advice is given to the programmer on how to solve the performance issues identified.
Source: Acumem AB
10/30/2013 | Cray, DDN, Mellanox, NetApp, ScaleMP, Supermicro, Xyratex | Creating data is easy… the challenge is getting it to the right place to make use of it. This paper discusses fresh solutions that can directly increase I/O efficiency, and the applications of these solutions to current, and new technology infrastructures.
10/01/2013 | IBM | A new trend is developing in the HPC space that is also affecting enterprise computing productivity with the arrival of “ultra-dense” hyper-scale servers.
Ken Claffey, SVP and General Manager at Xyratex, presents ClusterStor at the Vendor Showdown at ISC13 in Leipzig, Germany.
Join HPCwire Editor Nicole Hemsoth and Dr. David Bader from Georgia Tech as they take center stage on opening night at Atlanta's first Big Data Kick Off Week, filmed in front of a live audience. Nicole and David look at the evolution of HPC, today's big data challenges, discuss real world solutions, and reveal their predictions. Exactly what does the future holds for HPC?