This paper explores a novel application of queuing theory to the corrective software maintenance problem to support quantitative balancing between resources and responsiveness. In...
The architectural design of embedded systems is becoming increasingly idiosyncratic to meet varying constraints regarding energy consumption, code size, and execution time. Tradit...
Previous object code compression schemes have employed static and semiadaptive compression algorithms to reduce the size of instruction memory in embedded systems. The suggestion ...
This paper presents a two-stage compression method for accelerating GPU-based volume rendering of time-varying scalar data. Our method aims at reducing transfer time by compressin...
To minimize the surging power consumption of microprocessors, adaptive computing environments (ACEs) where microarchitectural resources can be dynamically tuned to match a program...
Shiwen Hu, Madhavi Gopal Valluri, Lizy Kurian John