While preparing material for an article describing fundamental performance characteristics of Cray PVP and MPP architectures (O'Neal and Urbanic, 1997), it became apparent to us that a variation of Amdahl's Law could be written for any computing system featuring a memory hierarchy. Expressions for estimating cache efficiency and relative performance were developed first. We then were able to show how the same forms could be used to produce realistic bounds on system throughput. After formalizing the relationship between caching efficiency and relative performance, selected results are plotted and a basic analysis is performed. To fix ideas, a relevant application is demonstrated. Findings are summarized in closing
This paper presents a fundamental law for parallel performance: it shows that parallel performance i...
Abstract-Many architecture features are available for improving the performance of a cache-based sys...
The problem of learning parallel computer performance is investigated in the context of multicore pr...
Amdahl's Law states that speedup in moving from one processor to N identical processors can nev...
) Sandeep Sen y Siddhartha Chatterjee z Submitted for publication Abstract We describe a model...
We present a model that enables us to analyze the running time of an algorithm on a computer with a ...
Moore's Law states that processor speeds double every 18 months. Memory density is increasing a...
Using Amdahl’s law as a metric, the authors illustrate a technique for developing efficient code on ...
Computer memory is organized into a hierarchy. At the highest level are the processor registers, nex...
A new performance model of the memory hierarchy is first introduced, which describes all possible sc...
Application performance on modern microprocessors depends heavily on performance related characteris...
As algorithms scale to solve larger and larger MDPs, it becomes impossible to store all of the model...
Amdahl\u27s Law states that speedup in moving from one processor to N identical processors can never...
As algorithms scale to solve larger and larger MDPs, it be-comes impossible to store all of the mode...
In this paper, the authors characterize application performance with a memory-centric view. Using a ...
This paper presents a fundamental law for parallel performance: it shows that parallel performance i...
Abstract-Many architecture features are available for improving the performance of a cache-based sys...
The problem of learning parallel computer performance is investigated in the context of multicore pr...
Amdahl's Law states that speedup in moving from one processor to N identical processors can nev...
) Sandeep Sen y Siddhartha Chatterjee z Submitted for publication Abstract We describe a model...
We present a model that enables us to analyze the running time of an algorithm on a computer with a ...
Moore's Law states that processor speeds double every 18 months. Memory density is increasing a...
Using Amdahl’s law as a metric, the authors illustrate a technique for developing efficient code on ...
Computer memory is organized into a hierarchy. At the highest level are the processor registers, nex...
A new performance model of the memory hierarchy is first introduced, which describes all possible sc...
Application performance on modern microprocessors depends heavily on performance related characteris...
As algorithms scale to solve larger and larger MDPs, it becomes impossible to store all of the model...
Amdahl\u27s Law states that speedup in moving from one processor to N identical processors can never...
As algorithms scale to solve larger and larger MDPs, it be-comes impossible to store all of the mode...
In this paper, the authors characterize application performance with a memory-centric view. Using a ...
This paper presents a fundamental law for parallel performance: it shows that parallel performance i...
Abstract-Many architecture features are available for improving the performance of a cache-based sys...
The problem of learning parallel computer performance is investigated in the context of multicore pr...