The continuous increase of leakage power consumption
in deep sub-micro technologies necessitates more aggressive
leakage control. Runtime leakage control (RTLC) is effective,
si...
We have studied two efficient sampling methods, Langevin and Hessian adapted Metropolis Hastings (MH), applied to a parameter estimation problem of the mathematical model (Lorent...
Abstract. Knowledge Management systems are one of the key strategies that allow companies to fully tap into their collective knowledge. However, two main entry barriers currently l...
Datacenter workload modeling has become a necessity in recent years due to the emergence of large-scale applications and cloud data-stores, whose implementation remains largely un...
Powering down SDRAMs at run-time reduces memory energy consumption significantly, but often at the cost of performance. If employed speculatively with real-time memory controller...