APPLICATIONS

Today at SC08, NVIDIA demonstrated a Lenovo ThinkStation equipped with Tesla C1060 GPU Computing processing technology. The demonstration showed cluster-class performance of complex seismic imaging data being generated on a single workstation. A strong supporter of Tesla GPU Computing solutions, Lenovo is already shipping the D10 ThinkStation equipped with Tesla C870 - this continued collaboration between the two companies to develop further GPU Computing-based solutions will enable researchers and scientists, who have traditionally had to compete for time on shared clusters, to carry out much of their research, right at their desktop. "NVIDIA's GPU Computing technology is helping to transform high performance computing, and together we envision placing teraflops of parallel processing power at the fingertips of those researchers and professionals who need it most," said Tom Tobul, executive director of ThinkStation marketing, at Lenovo. At the core of this solution is the Tesla C1060 GPU Computing Processor which is based on the NVIDIA CUDA parallel computing architecture. CUDA enables developers and researchers to harness the massively parallel computational power of Tesla through industry standard C. For more information on workstation-based NVIDIA Tesla GPU Computing solutions, visit its Web site.