SHPCP January 2024 Lunch & Learn

Date(s) - January 25, 2024
11:30 am - 1:00 pm

HCC West Loop Campus

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The Society of HPC Professionals lunch and learn event


Lunch & Learn – January 2024

Performant Data Analytics Through Purpose-Built Computer Architecture

Martin Deneroff, CEO, Lucata Corporation

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25 January 2024
Networking: 11:30am – Noon CDT
Presentation: Noon – 1:00pm CDT
HCC West Loop Campus (plus live stream)
5601 W Loop S., Room C108
Houston, TX 77081


About the Event

Lucata Corporation was created on the premise that a computer architecture specifically targeted at irregular access to large, sparse data sets can dramatically outperform conventional architectures in both absolute performance and cost-effectiveness. The Lucata Pathfinder is the first such architecture to become available for commercial and research applications.

While the Pathfinder architecture was first conceived for use in applications such as counter-terrorism, it has become clear that its specialized characteristics provide massive advantages in a diverse range of application areas, including Fraud Detection, Genomics, Real-Time Optimization, and Retrieval-Augmented Generation in concert with LLMs.


About the Speaker

Martin Deneroff, CEO, Lucata Corporation

Martin Deneroff, the driving force behind Lucata Corporation and the Pathfinder Architecture, graduated from the Massachusetts Institute of Technology in Electrical Engineering and Computer Science, and received a Master of Computer Science from Monmouth University. His career has spanned numerous areas in parallel processing and computer architecture, including developing the architectures for SGI’s Challenge and Origen servers, DE Shaw Research’s Anton Molecular Dynamics Supercomputer, and, most recently Lucata’s Pathfinder Architecture.  He has served as Vice President of Server and Platform Engineering at SGI and as Head of Engineering at DE Shaw Research, and holds over 20 patents in parallel processing hardware. Together with Lucata’s founders, Peter Kogge, Jay Brockman, and Ed Upchurch, he has pioneered the application of Migratory Thread and Near-Memory Processing to practical applications.


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