From faster simulations for new drug discovery to computational fluid dynamics (CFD) to accelerate product engineering to empowering cardiologists with highly accurate personalized human heart models, HPC has and is poised to positively impact every human on earth. HPC in the cloud has enabled extending the reach and impact of HPC for everyone, whether it is for those with on-prem systems or new users of HPC. Leaders in the forefront of HPC in the Cloud will discuss the benefits of today’s computational capabilities to society. In this panel, hear from leading cloud service providers on how Intel’s portfolio of solutions including 3rd Gen Intel® Xeon® Scalable Processors, Optane Persistent Memory, Distributed Asynchronous Object Storage (DAOS) and Intel® SGX are providing the performance, flexibility and innovation to achieve what was impossible just a few years ago.
Patricia (Trish) A. Damkroger is vice president and general manager of the High Performance Computing organization in the Data Platforms Group at Intel Corporation. She leads Intel’s global technical and high-performance computing (HPC) business and is responsible for developing and executing strategy, building customer relationships and defining a leading product portfolio for technical computing workloads, including emerging areas such as high-performance data analytics, HPC in the cloud and artificial intelligence. An expert in the HPC field, Damkroger has more than 27 years of technical and managerial expertise both in the private and public sectors. Prior to joining Intel in 2016, she was the associate director of computation at the U.S. Department of Energy’s Lawrence Livermore National Laboratory where she led a 1,000-member group comprised of world-leading supercomputing and scientific experts. Since 2006, Damkroger has been a leader of the annual Supercomputing Conference (SC) series, the premier international meeting for high performance computing. She served as general chair of the SC’s international conference in 2014 and has held many other committee positions within industry organizations. Damkroger holds a bachelor’s degree in electrical engineering from California Polytechnic State University, San Luis Obispo, and a master’s degree in electrical engineering from Stanford University. She was recognized on HPC Wire’s “People to Watch” list in 2014 and 2018.
William (Bill) Magro is Chief Technologist for High Performance Computing at Google, where he drives HPC strategy and customer success for Google Cloud. Magro joined Google in 2020, after 20 years at Intel, where he was Intel Fellow and Chief Technologist for HPC. There, he served as a key strategist and driver for Intel’s HPC business, with a focus on software, solutions, and emerging technologies and trends, including HPC/Cloud and Exascale Computing. A recognized leader in the InfiniBand industry, Magro helped found the OpenFabrics Alliance and served as InfiniBand Trade Association Technical Working Group co-chair from 2007-2020. Magro has been a prominent voice in the HPC community for over two decades and regularly participates and presents in HPC conferences, advisory boards, and panels. He joined Intel in 2000 with the acquisition of Kuck & Associates Inc. (KAI). Prior to KAI, Magro spent 3 years as a post-doctoral fellow and staff member at the Cornell Theory Center at Cornell University. He holds a bachelor's degree in applied and engineering physics from Cornell University and a master's degree and Ph.D. in physics from the University of Illinois at Urbana-Champaign.
Nidhi Chappell leads the Workload Optimized Compute team for Azure which covers segments like HPC, AI, Autonomous Driving, SAP and ACC. Her team is responsible for all HPC and AI HW offerings include Intel and AMD CPUs, GPUs, FPGAs and other accelerators as well as HPC software offerings like Azure Batch, Azure CycleCloud and HPC Pack. Her team focuses on bringing true HPC capabilities to cloud (e.g., 200Gb IB) to enable easy on ramp for tightly coupled HPC and large scale AI jobs. Prior to joining Microsoft, Nidhi was at Intel for 12 years where she led the development of AI product strategy and Intel’s efforts around converged workflow for HPC and AI. Nidhi holds a MS (Computer Engineering, University of Wisconsin), MBA (University of Michigan) and a US patent on branch prediction.
Karan runs product management at Oracle Cloud Infrastructure for Hardware across OCI and HPC. He leads vision and product roadmap for compute infrastructure components and hardware. He regularly speaks at conferences and user-groups worldwide such as GPU Technology Conference, Super Computing & Siggraph. Previously Karan was leading accelerated hardware and infrastructure development for major public cloud providers and successful startups.