IEEE Industry Summit on the Future of Computing
IEEE Industry Summit
On the Future of Computing
4 November 2019
San Mateo, CA, USA
Discovering a new era of computing
Join us on 4 November 2019 to hear leading experts discuss a new era of computing!
RC Week 2018 has ended. Thanks to all participants!
Stay tuned for details on RC Week 2019!
See last year's highlights:
Product Manager, Google Quantum AI Lab
Alan Ho leads product management and business development for Google’s Quantum AI Lab. He is responsible for finding early applications of quantum computers, and partnering with enterprises / startups / academia to advance quantum computing research. Prior to Google, founded a startup company that provides application performance management for mobile devices (acquired by Apigee). He has also held various technical roles at Amazon and semiconductor manufacturing.
Dr. Mukesh V. Khare
Vice President of Semiconductor Research, IBM Research
Dr. Mukesh V. Khare is a Vice President at IBM Research driving IBM’s world-wide agenda for the semiconductor research. In his current role, he is responsible for developing innovative solutions for IBM’s Enterprise Systems, Cognitive Systems and AI Technologies.
Dr. Khare has led research and development for several generations of semiconductor technologies in various technical, managerial and executive roles including introduction of high-k metal gate technology and FinFET device architecture. Dr. Khare is a recipient of IBM Corporate Award and Outstanding Technical Achievement Award for his technical accomplishments and is also an IBM Distinguished Engineer. He is the General Chair of the Symposia on VLSI Technology, has co-authored more than 100 research papers and holds several U.S. and international patents.
Dr. Khare has held a number of engineering and executive positions at IBM since 1998. He received his M.S., M.S., and Ph.D. degrees from Yale University.
Senior Director, Product Management, Operations and Systems R&D, Converged Edge Systems BU, Hewlett Packard Enterprise
Gerald Kleyn leads the product management, operations and R&D engineering teams that conceptualize and deliver the Edgeline Converged Edge Systems providing customers with industry leading solutions for the Industrial IoT.
Gerald joined HPE via Compaq as a firmware developer in 1997 and has since rotated into hardware design positions and various technical and business leadership roles. His product experience spans from products for small businesses, enterprise, high performance computing, hyperscale cloud service providers, and the emerging industrial IoT segments.
Gerald enjoys leading teams to deliver cutting edge systems to market that invent new technologies to enhance customer economics through higher performance, new capabilities, lower cost, and lower power consumption. He led development of the Moonshot system, a highly differentiated and award winning datacenter compute platform.
Dr. Trevor Lanting
Principal Scientist, D-Wave Systems
Dr. Trevor Lanting is a Principal Scientist at D-Wave Systems. He joined D-Wave in 2008 and has been involved with the development of the quantum annealing processor technology. He studied at UC Berkeley and obtained a Ph.D. in experimental physics in 2006. After graduate school he received an NSERC postdoctoral fellowship and worked with an experimental cosmology lab at McGill University focused on instrumentation and data analysis from 2006 to 2008.
CVP, Head of Research and Head of Deployed AI and Machine Learning Technologies at AMD
Alan Lee is both Head of Research and Head of Deployed AI and Machine Learning Technologies at AMD, where he is a Corporate Vice President. He is also President and CEO of AMD Advanced Research LLC, the subsidiary of AMD that performs research contracting to develop cutting-edge computing technologies. His research teams generate business impact in server, data center, and “big compute” platforms, and his AI group develops real-time machine learning solutions that satisfy demanding performance, reliability, and power constraints.
Gabriela Cruz Thompson
Director of University Research & Collaboration in Intel Labs, Intel Corp.
Gabriela Cruz Thompson is the Director of University Research & Collaboration in Intel Labs, Intel Corp., responsible for defining the future of computing and communications technologies. She does this by leading a team of technologists who are responsible for Intel’s large-scale research centers at leading universities, worldwide. She chaired the Corporate Research Council, responsible for the corporate-wide strategy of university research investments. Prior to this role, Gaby was the Chief of Staff for Intel Labs and Technical Assistant to Intel’s CTO, where she led Intel’s CTO executive office operations and led the Intel Labs staff to establish technology priorities for the future of Intel Corporation. From her strategies, Intel researchers collaborate meaningfully with academics, industrial partners, and government agencies.
Join IEEE as we convene great thinkers around the discussion of what we should expect as we enter a new era of computing that is currently un-imaginable. Learn how to best prepare your business for the next 10 years, and how to be at the leading edge for the following 20 years and beyond. Hear from trailblazers in hardware, software, low energy, and high performance computing. You will walk away with ideas, insight, and the keys to innovation.
|Friday, 9 November 2018||Session|
|7:00 AM - 9:00 AM||Registration Open|
|8:30 AM - 9:00 AM||Breakfast|
|9:00 AM - 9:15 AM||Welcoming Remarks|
|9:15 AM - 9:15 AM||Introduction of speaker 1 - HPE|
|9:15 AM - 9:45 AM||Gerald Kleyn - Sr. Director Product Management, Operations & System Engineering, HPE
Title: The Convergence of OT and IT, the Next Digital Wave
Abstract: The IoT presents a large opportunity for distributed compute to drive the next wave of applications at the edge. Learn why HPE created Edgeline, the industry’s first Converged Edge Systems and how they fit into HPE’s overall Intelligent Edge strategy. Learn about use cases, solution components and partnerships driving Edgeline’s customer successes. We’ll cover details on the current offering and where we’re headed.
|9:45 AM - 10:00 AM||Q&A Speaker 1|
|10:00 AM - 10:00 AM||Introduction of speaker 2 - IBM|
|10:00 AM - 10:30 AM||Mukesh Khare - Vice President of Semiconductor Research, IBM Research
Title: The Era of AI Hardware
Abstract: The concurrent evolution of broad AI with purpose-built hardware will shift traditional balances between cloud and edge, structured and unstructured data, and training and inference. Distributed deep learning approaches, coupled with heterogeneous system architectures effectively address bandwidth, latency, and scalability requirements of complex AI models. Hardware, purpose-built for AI, holds the potential to unlock exponential gains in AI computations. IBM Research is making further strides in AI hardware through the use of Digital AI Cores using approximate computing, non-Von-Neumann approaches with Analog AI Cores, and the emergence of quantum computing for AI workloads. We will share our roadmap for AI Compute, informed by our breadth spanning device innovation to AI applications for Enterprise.
|10:30 AM - 10:45 AM||Q&A Speaker 2|
|10:45 AM - 11:00 AM||Break|
|11:00 AM - 11:00 AM||Introduction of speaker 3 - AMD|
|11:00 AM - 11:30 AM||Alan Lee - CVP, Head of Research and Head of Deployed AI and Machine Learning Technologies at AMD
Title: Big Data Meets Big Compute
Abstract: Big Data requires Big Compute, but the computing industry must find new ways to keep up with the deluge of new data. This talk will explore possible technology directions and opportunities to handle and exploit this data. Topics include the expansion of traditional computing concepts, new design approaches, and the need for software to meet these challenges.
|11:30 AM - 11:45 AM||Q&A Speaker 3|
|11:45 AM - 12:00 PM||Time for people to connect with the morning speakers|
|12:00 PM - 1:00 PM||Lunch|
|1:00 PM - 1:00 PM||Introduction of speaker 4 - D-Wave Systems|
|1:00 PM - 1:30 PM||Dr. Trevor Lanting - Principal Scientist, D-Wave Systems
Title: Development of Quantum Annealing Technology at D-Wave Systems
Abstract: Processors that harness quantum mechanics for computational advantage hold immense promise, but present challenges in scaling to a practical size. Practical and programmable quantum hardware must be developed with a clear focus on the design of the entire system from the basic device design and fabrication up to the control circuitry, the room temperature electronics, the cryogenic enclosures, and the software stack around the system. We have built a series of scalable systems that implement a single algorithm, quantum annealing (QA). QA is run on a network of superconducting flux qubits with in situ programmable pair-wise magnetic interactions. I will introduce the QA algorithm and provide an overview of the processor architecture, device design, and programmability from a systems perspective.
|1:30 PM - 1:45 PM||Q&A Speaker 4|
|1:45 PM - 1:45 PM||Introduction of speaker 5 - Google|
|1:45 PM - 2:15 PM||Alan Ho - Product Manager, Google Quantum AI Lab
Title: Challenges and Opportunities of the NISQ Processors (Noisy Intermediate Scale Quantum Computing)
Abstract: Noisy Intermediate Scale Quantum Computing describes the type of quantum processors that will be available for scientists and researcher to to use in the near term. The following presentation from Alan Ho, Product Management Lead from Google, will present the challenges and opportunities of near term quantum computing. He will provide an overview of Google's progress on improving both # of qubits and quality of qubits. Then, he will provide an overview on near term quantum applications, and why we should be cautiously optimistic of quantum computing going beyond moores law.
|2:15 PM - 2:30 PM||Q&A Speaker 5|
|2:30 PM - 2:45 PM||Break|
|2:45 PM - 2:45 PM||Introduction of speaker 6 - Intel Labs|
|2:45 PM - 3:15 PM||Gabriela Cruz Thompson - Director of University Research Collaboration, Intel Labs
Title: The Future Is So Bright
Abstract: In this talk Gabriela Cruz Thompson, Director of University Research and Collaboration for Intel Labs, will share with participants a look into transformational technologies that are being invented by Intel Researchers. She will share how Intel Labs delivers innovations that fuel Intel’s growth and technology leadership, including the progress made to date in accelerating key transformative technologies such as Neuromorphic and Quantum computing and beyond.
|3:15 PM - 3:30 PM||Q&A Speaker 6|
|3:30 PM - 3:45 PM||Closing Remarks|
The IEEE Industry Summit on the Future of Computing will be held Monday, 4 November 2019 at:
San Mateo Marriott
1770 S Amphlett Blvd.
San Mateo, CA 94402, USA
Sponsors, Patrons, and Endorsements
As a patron, you will have the opportunity to showcase your leading-edge technology, recruit professionals, and discover new ideas for future products. See available Patron Opportunities and contact Terence Martinez (firstname.lastname@example.org) for more information.
Previous IEEE Industry Summits