Felipe Klein

This paper describes a new multi-model power estimation engine that selects the macromodeling technique leading to the least estimation error for a given system component depending on the properties of its input-vector stream. Expand

In this paper we present a novel system modeling language which targets primarily the development of source-level multiprocessor memory aware optimizations. Expand

This paper describes two different approaches for a new multi-model power estimation engine. Expand

We present PowerSC, a power estimation framework which instruments SystemC for power characterization, modeling and estimation. Expand

The well-known drawbacks imposed by lock-based synchronization have forced researchers to devise new alternatives for concurrent execution, of which transactional memory is a promising one. Expand

We provide, in this paper, a comprehensive energy analysis of a standard STM design and propose novel scratchpad-based energy-awareSTM design strategies. Expand

This paper presents a new approach for power models for Web servers, based on ranges of CPU usage values and performance server statistics. Expand

We describe an automatic methodology to select the custom instructions from the given application code, in a way that there is no need of compensation code or other modifications in the application. Expand

We present a comprehensive study on the energy consumption of a state-of-the-art STM (Software Transactional Memory) implementation using STAMP, a representative set of transactional workloads, comparing it to its lock-based counterpart. Expand

This paper discusses the limitations of macromodeling techniques that can lead to unacceptably high estimation errors. Expand