Jan 1, 2005 · It is shown that this workload characterization method outperforms comparable ones in accuracy, as well as in time and space requirements.

Experimental design of parallel computers calls for quantifiable methods to compare and evaluate the requirements of different workloads within an ...

A parallelism-based framework is presented for representing and comparing workloads, based on the way they would exercise parallel machines, ...

Experimental design of parallel computers calls for quantifiable methods to compare and evaluate the requirements of different workloads within an ...

Abdullah I. Meajil, Tarek A. El-Ghazawi, Thomas L. Sterling: A Quantitative Approach for Architecture-Invariant Parallel Workload Characterization.

A Quantitative Approach for Architecture-Invariant Parallel Workload Characterization. August 1996. Abdullah I. Meajil · Tarek El-Ghazawi · Thomas Sterling.

... A Quantitative Approach for. Architecture-Invariant Parallel Workload Characterization." In: Lecture Notes in Computer SCience,. No. 1184 ...

This paper presents an instruction-level characterization for analyzing dynamic traces using a trace-driven simulator.

Sterling, “A Quantitative Approach for Architecture-Invariant Workload Characterization,” Lecture Notes in Computer Science, Springer-Verlag. Proceedings of ...

A Quantitative Approach for Representing and Differentiating Parallel. Architectures Workloads. Abdullah Meajil*, Tarek A. El-Ghazawi*, and Thomas Sterling+.