I’m excited to announce a panel discussion on HPC that I’ll be hosting at next week’s Structure: Data conference in New York.
FASTER MEMORY, FASTER COMPUTE
High-performance computing has traditionally been the most demanding area of computing that pushed the edge of the envelope. In these circumstances a lot of pioneering work has been done that ultimately filtered down to more pervasive and affordable applications. In this fireside chat we talk to a scientist from Los Alamos National Laboratories about how they reduce the time and cost of getting to critical insights by reducing the distance and latency of compute memory. The conversation will look to successes in current deployments and what this signals for computer architectures for big data problems in the long-term.
Rich Brueckner – President, inside-BigData
- Gary Grider – Deputy Division Leader, HPC Division, Los Alamos National Laboratory
- Garth Gibson – Co-Founder and CTO, Panasas
The panel discussion takes place at on Thursday, March 22 at 2:50 pm. See the Full Schedule for details.
Our sister publication, inside-BigData, is proud to be a media sponsor of the event. The response we’ve gotten has been truly overwhelming since Forbes named me as one of the Top 20 Big Data Influencers, so I’m really looking forward to meeting thought leaders from the industry.