The runtime performance data for participants' solutions as well as the model solutions the authors came up with to problems A and B. partID - the participant ID; any ID prefixed with "fast" is a model solution for A (L1 - L3) or B (L1) problem - the problem (either A or B) mode - whether Copilot was used or not; NULL for model solutions (prefixed with "fast") compiled - whether the code compiled or not (TRUE or FALSE) passed - whether the code passed the sanity checks (TRUE or FALSE or NULL if the code did not compile or ran with errors) IterationNumber - the iteration number for that run. Each participant's solution was run 32 times so we provide the runtime performance for each run. Runtime (µs) - the runtime performance of the so...
Performance analysis is a critical aspect of CPU design, but it has become more difficult during the...
High-performance computing is essential for solving large problems and for reducing the time to solu...
A method is presented for modeling application performance on parallel computers in terms of the per...
The runtime performance data for participants' solutions as well as the model solutions the authors ...
The many configuration options of modern applications make it difficult for users to select a perfor...
12 pagesThe community of program optimisation and analysis, code performance evaluation, parallelisa...
Before implementing a system with hardware and software components, performance modelling is often u...
The most fruitful use of a performance model is to study deep properties of the system, and hypothet...
Performance comparisons are ubiquitous in computer science. The proceedings of most conferences are ...
Standard benchmarking provides the run times for given programs on given machines, but fails to prov...
In this paper, we describe a model for determining the optimal data and computation decomposition fo...
Improvements in performance and energy efficiency often require deep understanding of the complex in...
Traditional means of gathering performance data are trac-ing, which is limited by the available stor...
In the area of high performance computing and embedded systems, numerous code optimisation methods e...
Article first published online: 15 OCT 2012International audienceIn the area of high performance com...
Performance analysis is a critical aspect of CPU design, but it has become more difficult during the...
High-performance computing is essential for solving large problems and for reducing the time to solu...
A method is presented for modeling application performance on parallel computers in terms of the per...
The runtime performance data for participants' solutions as well as the model solutions the authors ...
The many configuration options of modern applications make it difficult for users to select a perfor...
12 pagesThe community of program optimisation and analysis, code performance evaluation, parallelisa...
Before implementing a system with hardware and software components, performance modelling is often u...
The most fruitful use of a performance model is to study deep properties of the system, and hypothet...
Performance comparisons are ubiquitous in computer science. The proceedings of most conferences are ...
Standard benchmarking provides the run times for given programs on given machines, but fails to prov...
In this paper, we describe a model for determining the optimal data and computation decomposition fo...
Improvements in performance and energy efficiency often require deep understanding of the complex in...
Traditional means of gathering performance data are trac-ing, which is limited by the available stor...
In the area of high performance computing and embedded systems, numerous code optimisation methods e...
Article first published online: 15 OCT 2012International audienceIn the area of high performance com...
Performance analysis is a critical aspect of CPU design, but it has become more difficult during the...
High-performance computing is essential for solving large problems and for reducing the time to solu...
A method is presented for modeling application performance on parallel computers in terms of the per...