Since 2005, processor designers have increased core counts to exploit Moore's Law
scaling, rather than focusing on single-core performance. The failure of Dennard scaling, to …

Energy efficiency is a major concern in modern high-performance computing system design.
In the past few years, there has been mounting evidence that power usage limits system …

Execution time is no longer the only metric by which computational systems are judged. In
fact, explicitly sacrificing raw performance in exchange for energy savings is becoming a …

For over 50 years, Amdahl's Law has been the hallmark model for reasoning about
performance bounds for homogeneous parallel computing resources. As heterogeneous …

Extracting high performance from multi-core processors requires increased use of thermal
management techniques. In contrast to offline thermal management techniques, online …

This paper derives simple, yet fundamental formulas to describe the interplay between
parallelism of an application, program performance, and energy consumption. Given the …

The fundamental energy cost of irreversible computing is given by the Landauer bound of k
T ln 2/bit, where k is the Boltzmann constant and T is the temperature in Kelvin. However …

This paper addresses the problem of determining the feasible speeds and voltages of
multicore processors with hard real-time and temperature constraints. This is an important …

Since 2004, processor designers have increased core counts to exploit Moore's Law
scaling, rather than focusing on single-core performance. The failure of Dennard scaling, to …

As we move towards exa-scale computing, energy is becoming increasingly important, even
in the high performance computing arena. However, the simple equation, Energy= Power …