Category Archives: HPC

When GeoSpace Technologies, a global leader in seismic data acquisition systems, wanted to scale up their performance and their capacity, they called Minimal Metrics. Aside from high-frequency trading, no-where is the performance a bigger differentiator than in seismic data processing. While the hardware and algorithms are highly guarded trade secrets, the process is relatively simple to explain. It consists of collecting seismic data from a large number of sensors, removing the impulse (transmitted) signal, correlating that data along temporal and spatial boundaries and then combining that data into a picture of what lies beneath. This picture actually consists of millions of data points and is often used as input into additional processing designed to identify features of interest – like natural gas deposits. Rapid turnaround time to this process is absolutely key due to the capital expenditures required to keep exploration and drilling equipment and personnel in the field. This pipeline is extremely data…

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Minimal Metrics has formed a strategic partnership with Scalable Informatics, makers of some of the fastest high performance storage subsystems on the planet. While having extensive experience in application optimization and high performance computing system design, Minimal Metrics was lacking the deep experience necessary to solve some of our customers’ unique storage challenges. Enter Joe Landman, CEO and Chief Architect of Scalable Informatics. Joe has over 20 years in the design and optimization of high end storage systems – and that experiences shows brilliantly through Scalable Informatics’ product line. With significant customers in the financial sector, health care, simulation science and high performance computing, Joe and Scalable Informatics have the kind of expertise and reputation our customers have grown to expect. Through this partnership with Joe and his team, Minimal Metrics extends their stellar capabilities into the realm of high performance storage and the robust processing of “Big Data“.

PAPI V (5.0.0) is now available! Philip Mucci, one of the founders of Minimal Metrics, is the founding author of the award-winning PAPI project, now in it’s 16th year!. Tushar Mohan, co-founder of Minimal Metrics, recently partnered with the the PAPI Team to develop the Appio component in PAPI V, which is used to measure I/O and network performance of an application.

Philip Mucci of Minimal Metrics was an invited speaker at IDC Research’s HPC User Forum held in Richmond, VA in April, 2012. Philip’s topic was “The Business of Performance Optimization”.