Information Processing and Computation Systems beyond von Neumann/Turing Architecture and Moore’s Law Limits

February 25, 26, and 27, 2013

Conventional, stored program architecture systems are designed for algorithmic and exact calculations.  However, the problems with highest impact involve large, noisy, incomplete, “natural” data sets that do not lend themselves to convenient solutions by current systems.  Our task is to build upon the convergence – cresting waves among neuroscience, microelectronics and computational systems to develop a new architecture designed to handle these natural data sets.

By bringing together researchers from different scientific disciplines and applications areas, we seek to provide a nucleation point for the development of next generation of information processing/computation architectures that go beyond stored program architectures and Moore’s Law limits.

With this workshop, we will:

• Present applications that are looking for solutions that are beyond the capabilities of current computational systems,
• Highlight technical approaches that are at the early to middle stages of development for new computational systems,
• Identify pathways and resources to accelerate the development of these new systems.

Attendance: 80-100 from neuroscience, systems, microelectronics, applications, potential funding agencies.

Bradley Aimone
Corinne Teeter
Murat Okandan

Co-sponsor