Explores the transition from algorithms to hardware architectures in digital system design, covering isomorphic architectures, VHDL implementation, and hardware efficiency metrics.
Delves into challenges of real-time decision-making in data-intensive systems, covering query-driven data sanitization, hardware optimization, and GPU data access.
Covers neuromorphic computing, challenges in ternary and binary computing, hardware simulations of the brain, and new materials for artificial brain cells.
Explores storage management challenges in transitioning to data lakes, addressing software and hardware heterogeneity, unified storage design, and performance optimization.
Introduces the IcySoC project, focusing on ultra-low power computing and approximate computing techniques for energy efficiency and performance optimization.
