Autor: Pietron, M. - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: The Java profiler based on byte code analysis and instrumentation for many-core hardware accelerators
Autorzy:: Pietroń, M.
Karwatowski, M.
Wiatr, K.
Powiązania:: https://bibliotekanauki.pl/articles/114614.pdf
Data publikacji:: 2015
Wydawca:: Stowarzyszenie Inżynierów i Techników Mechaników Polskich
Tematy:: virtual machine
CUDA
GPU
profiling
parallel computing
Opis:: One of the most challenging issues in the case of many and multi-core architectures is how to exploit their potential computing power in legacy systems without a deep knowledge of their architecture. The analysis of static dependence and dynamic data dependences of a program run, can help to identify independent paths that could have been computed by individual parallel threads. The statistics of reusing the data and its size is also crucial in adapting the application in GPU many-core hardware architecture because of specific memory hierarchies. The proposed profiling system accomplishes static data analysis and computes dynamic dependencies for Java programs as well as recommends parts of source code with the highest potential for parallelization in GPU. Such an analysis can also provide starting point for automatic parallelization.
Źródło:: Measurement Automation Monitoring; 2015, 61, 7; 385-387
2450-2855
Pojawia się w:: Measurement Automation Monitoring
Dostawca treści:: Biblioteka Nauki

Artykuł

Skocz do pozycji: 2.

Tytuł:: A study of parallel techniques for dimensionality reduction and its impact on the quality of text processing algorithms
Autorzy:: Pietroń, M.
Wielgosz, M.
Karwatowski, M.
Wiatr, K.
Powiązania:: https://bibliotekanauki.pl/articles/114190.pdf
Data publikacji:: 2015
Wydawca:: Stowarzyszenie Inżynierów i Techników Mechaników Polskich
Tematy:: singular value decomposition
vector space model
TFIDF
Opis:: The presented algorithms employ the Vector Space Model (VSM) and its enhancements such as TFIDF (Term Frequency Inverse Document Frequency) with Singular Value Decomposition (SVD). TFIDF were applied to emphasize the important features of documents and SVD was used to reduce the analysis space. Consequently, a series of experiments were conducted. They revealed important properties of the algorithms and their accuracy. The accuracy of the algorithms was estimated in terms of their ability to match the human classification of the subject. For unsupervised algorithms the entropy was used as a quality evaluation measure. The combination of VSM, TFIDF, and SVD came out to be the best performing unsupervised algorithm with entropy of 0.16.
Źródło:: Measurement Automation Monitoring; 2015, 61, 7; 352-353
2450-2855
Pojawia się w:: Measurement Automation Monitoring
Dostawca treści:: Biblioteka Nauki

Artykuł

Skocz do pozycji: 3.

Tytuł:: FPGA implementation of procedures for video quality assessment
Autorzy:: Wielgosz, M.
Karwatowski, M.
Pietron, M.
Wiatr, K.
Powiązania:: https://bibliotekanauki.pl/articles/305403.pdf
Data publikacji:: 2018
Wydawca:: Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
Tematy:: video quality
video metrics
image processing
FPGA
Impulse C
Opis:: The video resolutions used in a variety of media are constantly rising. While manufacturers struggle to perfect their screens, it is also important to ensure the high quality of the displayed image. Overall quality can be measured using a Mean Opinion Score (MOS). Video quality can be affected by miscellaneous artifacts appearing at every stage of video creation and transmission. In this paper, we present a solution to calculate four distinct video quality metrics that can be applied to a real-time video quality assessment system. Our assessment module is capable of processing 8K resolution in real time set at a level of 30 frames per second. The throughput of 2.19 GB/s surpasses the performance of pure software solutions. The module was created using a high-level language to concentrate on architectural optimization.
Źródło:: Computer Science; 2018, 19 (3); 279-305
1508-2806
2300-7036
Pojawia się w:: Computer Science
Dostawca treści:: Biblioteka Nauki

Artykuł

Skocz do pozycji: 4.

Tytuł:: Real time 8K video quality assessment using FPGA
Autorzy:: Wielgosz, M.
Pietroń, M.
Karwatowski, M.
Wiatr, K.
Powiązania:: https://bibliotekanauki.pl/articles/114403.pdf
Data publikacji:: 2016
Wydawca:: Stowarzyszenie Inżynierów i Techników Mechaników Polskich
Tematy:: video quality
video metrics
image processing
FPGA
Opis:: This paper presents a hardware architecture of the video quality assessment module. Two different metrics were implemented on FPGA using modern High Level Language for digital system design – Impulse C. FPGA resources consumption of the presented module is low, which enables module-level parallelization. Tests conducted for four modules working concurrently show that 1.96 GB/s throughput can be achieved. The module is capable of processing 8K video stream in a real-time manner i.e. 30 frames/second. Such high performance of the presented solution was achieved due to the series of architectural optimization introduced to the module, such as reduction of data precision and reuse of various module components.
Źródło:: Measurement Automation Monitoring; 2016, 62, 6; 187-189
2450-2855
Pojawia się w:: Measurement Automation Monitoring
Dostawca treści:: Biblioteka Nauki

Artykuł

Skocz do pozycji: 5.

Tytuł:: Assessment of various GPU acceleration strategies in text categorization processing flow
Autorzy:: Korduła, Ł.
Wielgosz, M.
Karwatowski, M.
Pietroń, M.
Żurek, D.
Wiatr, K.
Powiązania:: https://bibliotekanauki.pl/articles/114132.pdf
Data publikacji:: 2017
Wydawca:: Stowarzyszenie Inżynierów i Techników Mechaników Polskich
Tematy:: GPU
NLP
text categorization
OpenCL
Opis:: Automatic text categorization presents many difficulties. Modern algorithms are getting better in extracting meaningful information from human language. However, they often significantly increase complexity of computations. This increased demand for computational capabilities can be facilitated by the usage of hardware accelerators like general purpose graphic cards. In this paper we present a full processing flow for document categorization system. Gram-Schmidt process signatures calculation up to 12 fold decrease in computing time of system components.
Źródło:: Measurement Automation Monitoring; 2017, 63, 6; 203-205
2450-2855
Pojawia się w:: Measurement Automation Monitoring
Dostawca treści:: Biblioteka Nauki

Artykuł

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