Acceleware, a developer of high performance computing (HPC) solutions, has released the C30-16, a GPU-based cluster solution. This solution combines Acceleware's clustering technology with its portfolio of designed-for-parallel computational algorithms to harness the power of 64 GPUs, delivering unprecedented performance and scalability for enterprise customers.

Acceleware's enterprise customers, ranging from innovators of high-tech products to oil exploration firms operating in complex geological locations, require specialised solutions to address their computational requirements. The C30-16 brings together all the advantages of clustering – scalable commodity performance, enterprise-class computing capacity – with the advantages of GPU acceleration – compelling performance gains, higher compute densities and lower total cost of ownership along with superior power, cooling and space utilisation.

The GPU cluster solution combined with Acceleware's computational algorithms was benchmarked with data provided by end users, confirming processing power capable of solving problems billions of cells in size with speeds approaching 14 Gigacells per second for electronic design customers. At these processing speeds, Acceleware's C30-16 is competitive against traditional, more expensive clusters of around 1,000 cores. For seismic customers using techniques like Reverse Time Migration, problem sets in the range of billions of cells over thousands of square kilometres found in large marine surveys will now be commercially possible with the C30-16.

Based on Nvidia Tesla GPU computing technology, Acceleware's new cluster solution is available in four pre-defined configurations, allowing for customers to match their processing needs. The cluster solutions start with a 16 GPU configuration and progresses through 32, 48 and up to 64 GPUs. The Nvidia GPU nodes come packaged in a 1U (four GPU) data centre form-factor coupled with host server nodes that incorporate high-speed Infiniband interconnect.


Robert Roe explores the role of maintenance in ensuring HPC systems run at optimal performance


Robert Roe speaks with Dr Maria Girone, Chief Technology Officer at CERN openlab.


Dr Keren Bergman, Professor of Electrical Engineering at the School of Engineering and Applied Science, Columbia University discusses her keynote on the development of silicon photonics for HPC ahead of her keynote presentation at ISC High Performance 2018 


Sophia Ktori explores the use of informatics software in the first of two articles covering the use of laboratory informatics software in regulated industries


Robert Roe discusses the role of the Pistoia Alliance in creating the lab of the future with Pistoia’s Nick Lynch