Over the last decade, the computing needs of modern enterprise and industry have expanded to include machine intelligence, cloud computing, and HPC. In the next decade, these communities will rely on the development of novel algorithms and architectures to overcome the power, data movement, interconnect, and related software challenges associated with computing at extreme scales and the end of Moore’s Law. Consumer-driven markets, new use cases for computing, and physical limitations necessitate disruptive changes throughout the entire compute ecosystem. From fundamental technologies such as non-volatile memory, accelerators, and FPGAs to emerging paradigms such as quantum and neuromorphic computing, we face dramatic challenges in system, software, and algorithm design. This workshop aims to involve all stakeholders to foster multi-disciplinary dialog and explore critical issues at the confluence of architectures, algorithms, and applications.
This workshop will include a poster session; a request for posters will be sent to registered participants in advance of the workshop.
(Carnegie Mellon University)
David Brown (Lawrence Berkeley National Laboratory)
Jeffrey Hittinger (Lawrence Livermore National Laboratory)
Andreas Krause (ETH Zurich)
Alan Lee, Chair (AMD)