Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Miroslav Hodak"'
Autor:
Gusseppe Bravo-Rocca, Peini Liu, Jordi Guitart, Ajay Dholakia, David Ellison, Jeffrey Falkanger, Miroslav Hodak
Publikováno v:
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Universitat Politècnica de Catalunya (UPC)
Machine Learning (ML) is more than just training models, the whole workflow must be considered. Once deployed, a ML model needs to be watched and constantly supervised and debugged to guarantee its validity and robustness in unexpected situations. De
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e5d653114c07c77c6c54c89dbb72e4f1
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030849238
TPCTC
TPCTC
AI is continuing to emerge as an important workload across enterprise and academia. Benchmarking is an essential tool to understand its computational requirements and to evaluate performance of different types of accelerators available for AI. Howeve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::77e2f2c8c287e62bbe2642e3c5eef423
https://doi.org/10.1007/978-3-030-84924-5_7
https://doi.org/10.1007/978-3-030-84924-5_7
Autor:
Ajay Dholakia, Miroslav Hodak
Publikováno v:
Performance Evaluation and Benchmarking for the Era of Cloud(s) ISBN: 9783030550233
TPCTC
TPCTC
MLPerf has emerged as a frontrunner in benchmarking AI performance by having support of main players in the industry. At the same time, official scores uncover challenges for measuring distributed AI performance: a 2/3 throughput loss at a large scal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f86a8250dc304fa869251929483c2420
https://doi.org/10.1007/978-3-030-55024-0_3
https://doi.org/10.1007/978-3-030-55024-0_3
Publikováno v:
IEEE BigData
Deep learning (DL) is a computationally intensive workload that is expected to grow rapidly in data centers in the near future. Its high energy demand necessitates finding ways to improve computational efficiency. In this work, we directly measure po
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::506206179b7ea0f49a47cb1462384006
https://doi.org/10.1109/bigdata47090.2019.9005632
https://doi.org/10.1109/bigdata47090.2019.9005632
Publikováno v:
Nanoscale. 9:1687-1698
Functionalized carbon nanotubes have great potential for nanoscale sensing applications, yet many aspects of their sensing mechanisms are not understood. Here, two paradigmatic sensor configurations for detection of biologically important molecules a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1fbb7a2f9c896c29a0597fb4cf92b237
https://doi.org/10.1039/c6nr07371a
https://doi.org/10.1039/c6nr07371a
Autor:
Miroslav Hodak, Ajay Dholakia
Publikováno v:
Performance Evaluation and Benchmarking for the Era of Artificial Intelligence ISBN: 9783030114039
TPCTC
TPCTC
Tensorflow (TF) is a highly popular Deep Learning (DL) software framework. Neural network training, a critical part of DL workflow, is a computationally intensive process that can take days or even weeks. Therefore, achieving faster training times is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a1ba86f82daf02848c0e27f09a4e0d23
https://doi.org/10.1007/978-3-030-11404-6_7
https://doi.org/10.1007/978-3-030-11404-6_7
Publikováno v:
IEEE BigData
Deep learning techniques have revolutionized many areas including computer vision and speech recognition. While such networks require tremendous amounts of data, the requirement for and connection to Big Data storage systems is often undervalued and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a15af4e1916036891a1df4263b83c7b1
https://doi.org/10.1109/bigdata.2018.8621896
https://doi.org/10.1109/bigdata.2018.8621896
Autor:
George A. Kaminski, Ingrid J. Pickering, John P. Cvitkovic, Oleg Y. Dmitriev, Kelly L. Summers, Graham N. George, Kurt H. Nienaber, Corey H. Yu, Natalia V. Dolgova, Julien J. H. Cotelesage, Miroslav Hodak, Jerzy Bernholc
Publikováno v:
Biochemistry. 56(24)
Copper is an essential nutrient required for many biological processes involved in primary metabolism, but free copper is toxic due to its ability to catalyze formation of free radicals. To prevent toxic effects, in the cell copper is bound to protei
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4cba38e2eeed8a02c258ec8d7b9ceba3
https://pubmed.ncbi.nlm.nih.gov/28549213
https://pubmed.ncbi.nlm.nih.gov/28549213
Publikováno v:
Proceedings of the National Academy of Sciences. 106:11576-11581
The prion protein (PrP) is responsible for a group of neurodegenerative diseases called the transmissible spongiform encephalopathies. The normal function of PrP has not yet been discovered, but indirect evidence suggests a linkage to its ability to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0e32d8b5a215bd6142ebe5aa47fbb4b5
https://doi.org/10.1073/pnas.0903807106
https://doi.org/10.1073/pnas.0903807106
Publikováno v:
Biochemistry. 54(5)
Copper-containing nitrite reductases (CuNiRs) catalyze the reduction of nitrite to nitric oxide, a key step in the denitrification process that maintains balance between organic and inorganic nitrogen. Despite their importance, their functioning is n
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fff35668e95f0a7903c485d54a46b878
https://pubmed.ncbi.nlm.nih.gov/25594136
https://pubmed.ncbi.nlm.nih.gov/25594136