Posts Tagged ‘TrueNorth’
[DevoxxUS2017] New Computer Architectures: Explore Quantum Computers & SyNAPSE Neuromorphic Chips by Peter Waggett
At DevoxxUS2017, Dr. Peter Waggett, Director of IBM’s Emerging Technology group at the Hursley Laboratory, delivered a thought-provoking session on next-generation computer architectures, focusing on quantum computers and IBM’s TrueNorth neuromorphic chip. With a background in radio astronomy and extensive research in cognitive computing, Peter explored how these technologies address the growing demand for processing power in a smarter, interconnected world. This post delves into the core themes of Peter’s presentation, highlighting the potential of these innovative architectures.
Quantum Computing: A New Frontier
Peter Waggett introduced quantum computing, explaining its potential to solve complex problems beyond the reach of classical systems. He described how quantum computers manipulate atomic spins using MRI-like systems, leveraging quantum entanglement and superposition. Drawing from his work at IBM, Peter highlighted ongoing research to make quantum computing accessible, emphasizing its role in advancing fields like cryptography and material science, despite challenges like helium shortages impacting hardware.
TrueNorth: Brain-Inspired Computing
Delving into neuromorphic computing, Peter showcased IBM’s TrueNorth chip, a brain-inspired architecture with 1 million neurons and 256 synapses, consuming just 73mW. Unlike traditional processors, TrueNorth challenges conventions like exact data representation and synchronicity, enabling low-power sensory perception for IoT and mobile applications. Peter’s examples illustrated TrueNorth’s scalability, positioning it as a cornerstone of IBM’s cognitive hardware ecosystem for transformative applications.
Addressing Scalability and Efficiency
Peter discussed the scalability of new architectures, comparing TrueNorth’s energy efficiency to traditional compute fabrics. He highlighted how neuromorphic chips optimize for error tolerance and energy-frequency trade-offs, ideal for IoT’s sensory demands. His insights, grounded in IBM’s client-focused projects, underscored the need for innovative designs to meet the computational needs of a connected planet, from smart cities to autonomous devices.
Building a Developer Community
Concluding, Peter emphasized the importance of fostering a developer community to advance these technologies. He encouraged collaboration through IBM’s research initiatives, noting the need for skilled engineers to tackle challenges like helium scarcity and system design. Peter’s vision for accessible platforms, inspired by his radio astronomy background, invited developers to explore quantum and neuromorphic computing, driving innovation in cognitive systems.