| Title | : | Modelica PARallel benchmark suite (MPAR): a test suite for evaluating the performance of parallel simulations of Modelica models |
| Author | : | Afshin Hemmati Moghadam |
| Language | : | en |
| Rating | : | 4.90 out of 5 stars |
| Type | : | PDF, ePub, Kindle |
| Uploaded | : | Apr 03, 2021 |
Read Modelica PARallel benchmark suite (MPAR): a test suite for evaluating the performance of parallel simulations of Modelica models - Afshin Hemmati Moghadam file in PDF
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Modelica parallel benchmark suite (mpar): a test suite for evaluating the performance of parallel simulations of modelica models paperback – january 30, 2012 by afshin hemmati moghadam (author) see all formats and editions.
When selecting benchmarks for the renaissance suite, our main goals were as follows. Benchmarks in the suite should rely on different styles of concurrent and parallel programming. These include data-parallelism, task-parallelism, streaming 1we included github projects with updates in the last 3 years.
The benchmark suite has been extended to include new benchmarks for unstructured adaptive meshes, parallel i/o, multi-zone applications, and computational grids. Problem sizes in npb are predefined and indicated as different classes.
To simulate a model expressed in modelica, it needs to be translated into ulation benchmark, the spark solver is competitive with.
Benchmark suites intended for research usually go beyond pure scoring systems and provide infrastructure to instrument and manipulate included programs in an efficient manner. Benchmark programs the current version of the suite contains the following 13 programs from many different areas such as computer vision, video encoding, financial.
On a high level, the benchmark suite must fulfill several critical requirements which can be derived from its objective as a suite to evaluate the programmability and performance of parallel programming models. These criteria will then function as guidelines for the selection of benchmarks and benchmarking practice.
Ing a benchmark test suite called modelica parallel benchmark suite (mpar) cuda and opencl, whereas the new parallel modeli- ca language extensions.
Modelica parallel benchmark suite (mpar) - a test suite for evaluating the performance of parallel simulations of modelica models hemmati moghadam, afshin linköping university, department of computer and information science, pelab - programming environment laboratory.
The sac2c sac with capabilities to detect and compile data parallel modelica for- equations/array- [4] clemens grelck.
Modelica parallel benchmark suite (mpar) - a test suite for evaluating the performance of parallel simulations of modelica models. Master's thesis, linköping university, department of computer and information science, december 2011.
Modelica parallel benchmark suite (mpar) - a test suite for evaluating the performance of parallel simulations of modelica models by afshin hemmati moghadam liu-ida/lith-ex-a 11/042 se 2011-11-11 linköpings universitet se-581 83 linköping, sweden linköpings universitet 581 83 linköping.
Parallel modelicaspec – parallel high performance benchmark suite the goal of this master thesis project is to put together a benchmark suite, tentatively.
Citeseerx - document details (isaac councill, lee giles, pradeep teregowda): the paper presents a contribution to a modelica benchmark suite. Basic ideas for a tool independent benchmark suite based on python scripting along with models for testing the performance of modelica com-pilers regarding large systems of equation are given.
The automation of running the benchmark suite is demonstrated followed by a selection of benchmark results to determine the current limits of modelica tools and how they scale for an increasing number of equa- tions. Keywords: benchmark, performance comparison, code generation, compiler.
Both splash-2 and parsec are aimed at the study of parallel machines. A comprehensive benchmark suite for single processor systems already exists with spec cpu2006[14]. The focus of our study is therefore on the parallel behavior of the programs. We pri-marily chose characteristics that reflect how threads communicate.
Dec 2, 2011 enabling explicitly parallel algorithms (opencl-style) in addition to the currently available modelica parallel benchmark test suite (mpar).
Modelica parallel benchmark suite (mpar) afshin hemmati moghadam häftad. Sustainability leadership henrik henriksson, elaine weidman grunewald inbunden.
Applications, focusing on a set of parallel applications representative of a wide range of domains from hpc to desktop and server applications. To do so, we apply task-parallelism strategies to the parsec benchmark suite [bienia 2011] and compare them in terms of programmability and performance with respect to the fork-join ver-.
Coremark is a benchmark that measures the performance of central processing units (cpu) used in embedded systems. It was developed in 2009 by shay gal-on at eembc and is intended to become an industry standard, replacing the dhrystone benchmark.
The main characteristic of this benchmark suite is that for each model the modelica implementation is compared with hand-optimized c++ code. The purpose of hipermod is to both assess the current performance gap in existing modelica translators, as well as to explore how to produce the most optimized code for such models, a task that will later.
Ing a benchmark test suite called modelica parallel benchmark suite (mpar) which makes use of these language extensions and includes models which repre-sent heavy computations. Section 2 gives a general introduction to modelica simulation on parallel architectures.
The current short implementation (august 2013 with parallel make) is not efficient for the performance evaluations of modern workstations, because the sequential order of the commands requires long wait times for certain threads.
Easy-to-use high-level parallel programming provided by parmodelica. Parallel programming integrated with advanced equation system and object orientation features of modelica. A benchmark suite for measuring the performance of computationally intensive modelica models.
Institutionen för datavetenskap - modelica parallel benchmark suite (mpar).
Contribute to openmodelica/openmodelica-testsuite development by creating an account on github.
A data-parallel algorithmic modelica extension for efficient execution on multi-core platforms. Author: mahder gebremedhin: department of computer and information.
This enables the modelica modeler to express parallel algorithms directly at the modelica language level. The generated code is porta-ble between several multi-core architectures since it is based on the opencl program-ming model. The implementation has been evaluated on a benchmark suite containing models.
The im-plementation has been evaluated on a benchmark suite containing models with matrix multiplication, eigen value computation, and stationary heat conduction.
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