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Uppsala, 31 March 2009: Acumem, a provider of intelligent software for single- and multi-core environments, today announced that it has partnered with Topteam Computer System, a professional HPC & IT application solutions provider to resell its multi-core optimization tools, initially SlowSpotter and ThreadSpotter, in China
Topteam Computer System Co., Ltd is a professional HPC & IT application solutions provider committed to providing innovative IT solutions and professional IT services to technically innovative customers to enable them the innovation capabilities on scientific research and production. Topteam has already established solid partnerships with many ISV and OEM vendors, such as SGI and IBM and will through today’s agreement also add Acumem performance tools to its portfolio. Customers are found in many areas and include companies and organizations like Shanghai Institutes for Biological Sciences, Nanjing Purple Mountain Observatory, Soochow University, and Wuhan Institute of Physics and Mathematics.
“We’re pleased to be able to offer Acumem's performance tools to our customers,” said Daniel Deng, CEO of Topteam. “Together with Acumem we can address a large need to find the best way to high performance on single- and multicore systems. Our customer base is all in need of better performance and together we can deliver this.”
“China is a very interesting market with a very rapid growth for high performance computing. Topteam, with its large network of clients and excellent reputation, will be an important partner for Acumem in this market” said Mats Hovmoller, CEO at Acumem. “Adding Acumem optimization solutions to the offering will enable Topteam to add additional value to these clients while allowing Acumem to reach additional programmers.”
Acumem’s technology enables owners of systems and applications to get the best performance from their system or application in both single- and multi-core environments. 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.
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