Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Tristan Vanderbruggen"'
Publikováno v:
2022 IEEE/ACM Sixth International Workshop on Software Correctness for HPC Applications (Correctness).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0a3743a2a1a38b2cd7bdae029f9c8c30
https://doi.org/10.1109/correctness56720.2022.00011
https://doi.org/10.1109/correctness56720.2022.00011
Autor:
Zifan Nan, Mithil Dave, Xipeng Shen, Chunhua Liao, Tristan Vanderbruggen, Pei-Hung Lin, Murali Emani
Publikováno v:
2022 IEEE/ACM International Workshop on HPC User Support Tools (HUST).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e6a7c925f8b1d271a898228571f4e255
https://doi.org/10.1109/hust56722.2022.00009
https://doi.org/10.1109/hust56722.2022.00009
Autor:
Ignacio Laguna, Tristan Vanderbruggen, Markus Schordan, Giorgis Georgakoudis, Daniel Osei-Kuffuor, Harshitha Menon, Michael O. Lam, Konstantinos Parasyris
Publikováno v:
IISWC
With the increasing interest in applying approximate computing to HPC applications, representative benchmarks are needed to evaluate and compare various approximate computing algorithms and programming frameworks. To this end, we propose HPC-MixPBenc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1e136dfc1023496bb0c08894d999c727
https://doi.org/10.1109/iiswc50251.2020.00012
https://doi.org/10.1109/iiswc50251.2020.00012
Publikováno v:
IPDPS
This paper presents XPlacer, a framework to automatically analyze problematic data access patterns in C++ and CUDA code. XPlacer records heap memory operations in both host and device code for later analysis. To this end, XPlacer instruments read and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e8e91288d52038df6314cceb5289ef9e
https://doi.org/10.1109/ipdps47924.2020.00106
https://doi.org/10.1109/ipdps47924.2020.00106
Publikováno v:
CORRECTNESS@SC
Mixed-precision computing offers potential data size reduction and performance improvement at the cost of accuracy, a tradeoff that many practitioners in high-performance computing and related fields are becoming more interested in as workloads becom
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4beb7dae8bc19e297358625fb3697a41
https://doi.org/10.1109/correctness49594.2019.00009
https://doi.org/10.1109/correctness49594.2019.00009
Publikováno v:
2018 Resilience Week (RWS).
Bad actors have embraced automation to construct malware, and current analysis systems cannot keep up with the ever-increasing load of malware being created daily. Additionally, some static analysis of malware can be computationally expensive, and no
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::896c78f73a024a1911788ce3d64ff1cf
https://doi.org/10.1109/rweek.2018.8473556
https://doi.org/10.1109/rweek.2018.8473556
Autor:
Tristan Vanderbruggen, John Cavazos
Publikováno v:
2017 Resilience Week (RWS).
In recent years, researchers have shown that deep learning (DL) can be used to construct highly accurate models to solve many problems. However, training DL models requires large datasets and vast amounts of computation. With millions of malware vari
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::93a3a6a67c38fd3d32075d185768549d
https://doi.org/10.1109/rweek.2017.8088645
https://doi.org/10.1109/rweek.2017.8088645
Publikováno v:
GPGPU@PPoPP
Optimizing applications for the next generation of super-computers requires next generation compilers. These compilers need to provide an abstraction for the developer to describe the inner working of applications. And, next generation compilers need
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3c14ae2756aaece3f7bdb0bb3d9cc0ac
https://doi.org/10.1145/3038228.3038238
https://doi.org/10.1145/3038228.3038238
Autor:
Lifan Xu, Corey Shannon, John Howe, Teague Forren, Tristan Vanderbruggen, Zachary Pearson, John Cavazos, William Killian, Joshua Simmons, Robert Searles
Publikováno v:
PDP
Malicious applications have become increasingly numerous. This demands adaptive, learning-based techniques for constructing malware detection engines, instead of the traditional manual-based strategies. Prior work in learning-based malware detection
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2482f9d02991b2747418480692eb63d2
https://doi.org/10.1109/pdp.2017.41
https://doi.org/10.1109/pdp.2017.41
Autor:
John Cavazos, Tristan Vanderbruggen
Publikováno v:
IWOCL
Hardware accelerators are now a common way to improve the performances of compute nodes. This performance improvement has a cost: applications need to be rewritten to take advantage of the new hardware. OpenACC is a set of compiler directives to targ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fa0f7ba8680638874aab6f1ade365554
https://doi.org/10.1145/2664666.2664675
https://doi.org/10.1145/2664666.2664675