In fewer than 30 minutes, this webinar will arm you with a primer on the main trends in memory innovation and CXL, show you how Samsung and Roche are overcoming memory bottlenecks, and convince you why you should attend the first ever MemCon in Silicon Valley on March 28-29. Short and sweet!
Sign up to stay informed, and to benefit from a discount to MemCon next month.
Visit the MemCon website to find out more!
Taylor Groves is a member of NERSC's Advanced Technology Group, where hisfocus is on networks and modeling/analysis of distributed systems. Prior to joining NERSC, he was a graduate researcher atSandia National Laboratories Center for Computing Research.
He earned a B.S. in Computer Science fromTexas State University. He holds a MS and PhD from theUniversity of New Mexicoas a part of the Scalable Systems Laboratory under Prof. Dorian Arnold.
Over the past several years, National Labs and supercomputing centers across the globe have been tinkering with AI testbed systems for scientific and machine learning workloads. These novel AI hardware platforms have been applied to tackle tasks like Covid simulations, computational fluid dynamics, and ultra-high-resolution computer vision for enabling digital twins.
Venkatram Vishwanathis a computer scientist at Argonne National Laboratory. He is the Data Science Team Lead at the Argonne leadership computing facility (ALCF). His current focus is on algorithms, system software, and workflows to facilitate data-centric applications on supercomputing systems. His interests include scientific applications, supercomputing architectures, parallel algorithms and runtimes, scalable analytics and collaborative workspaces. He has received best papers awards at venues including HPDC and LDAV, and a Gordon Bell finalist. Vishwanath received his Ph.D. in computer science from the University of Illinois at Chicago in 2009.
With a background in climate science and energy management, Oliver has been covering the intersections of technology, corporate policy and the sciences for over a decade. Following several years as a consultant for corporations and non-governmental organizations, Oliver joined Tabor Communications in 2018. For the past two years, he has helped to expand coverage onHPCwire,DatanamiandEnterpriseAIwith an eye toward highlighting HPC- and AI-driven achievements in scientific fields.
Sarina is a product manager in the Server Business Unit’s Strategic Business Development organization, with a focus on AI. In her role, she’s a major contributor to AMD’s CPU AI software strategy, managing AMD’s ZenDNN AI inference library, defining next-generation AI hardware products, and collaborating with AI ISVs, such as NEUCHIPS, to unlock AI performance on and alongside AMD EPYCTM processors.
As a Technology & Market Analyst, Computing & Software, Adrien Sanchez belongs to the Semiconductor, Memory & Computing division at Yole Intelligence, part of Yole Group.
Adrien produces technology & market analyses covering computing hardware and software, AI, machine learning and neural networks.
Prior to Yole, he worked at AW Europe (Belgium), where he focused on image recognition & comprehension for ADAS. He also worked at ACOEM (France) on real-time sound classification using deep learning and edge computing.
Adrien graduated with a double degree at Grenoble Institute of Technology PHELMA (Grenoble INP Phelma, France) and Grenoble Ecole de Management (GEM, France), and he earned an MSc on AI at Heriot-Watt University (Edinburgh, UK).
The future of AI is at the edge, but teams need a better way to build edge AI applications for scale.
As Head of ML Engineering at Modzy, Brad is an experienced technologist and open-source contributor with strong experience in Data Science, ML engineering, technical sales, and customer engagement. In this role, he spends time helpingorganizations unlock value in their enterprise and edge AI investment through robust MLOps pipelines. Additionally, he is one of the primary contributors and maintainers to Modzy's open source project,Chassis.ml.