Ich stimme zu, dass diese Seite Cookies verwende. Weitere Informationen finden Sie unter unseren Datenschutzerklärungen .
X
Molan, Martin
44  Ergebnisse:
Personensuche X
?
1

TinyLid: a RISC-V accelerated Neural Network For LiDAR Cont..:

, In: Proceedings of the 21st ACM International Conference on Computing Frontiers,
Jati, Grafika ; Molan, Martin ; Barchi, Francesco.. - p. 249-257 , 2024
Link: https://dl.acm.org/doi/1..
 
?
2

AutoGrAN: Autonomous Vehicle LiDAR Contaminant Detection us..:

, In: Companion of the 15th ACM/SPEC International Conference on Performance Engineering,
Jati, Grafika ; Molan, Martin ; Khan, Junaid Ahmed... - p. 112-119 , 2024
Link: https://dl.acm.org/doi/1..
 
?
3

ExaQuery: Proving Data Structure to Unstructured Telemetry ..:

, In: Companion of the 15th ACM/SPEC International Conference on Performance Engineering,
Khan, Junaid Ahmed ; Molan, Martin ; Angelinelli, Matteo. - p. 127-134 , 2024
Link: https://dl.acm.org/doi/1..
 
?
4

GRAAFE: GRaph Anomaly Anticipation Framework for Exascale H..:

Molan, Martin ; Ardebili, Mohsen Seyedkazemi ; Khan, Junaid Ahmed...
Future Generation Computer Systems.  160 (2024)  - p. 644-653 , 2024
Link: https://doi.org/10.1016/..
 
?
5

Exploring the Utility of Graph Methods in HPC Thermal Model..:

, In: Companion of the 15th ACM/SPEC International Conference on Performance Engineering,
Guindani, Bruno ; Molan, Martin ; Bartolini, Andrea. - p. 106-111 , 2024
Link: https://dl.acm.org/doi/1..
 
?
6

Machine Learning Methodologies to Support HPC Systems Opera..:

, In: Euro-Par 2022: Parallel Processing Workshops; Lecture Notes in Computer Science,
Molan, Martin ; Borghesi, Andrea ; Benini, Luca. - p. 294-298 , 2023
Link: https://doi.org/10.1007/..
 
?
7

RUAD: Unsupervised anomaly detection in HPC systems:

Molan, Martin ; Borghesi, Andrea ; Cesarini, Daniele..
Future Generation Computer Systems.  141 (2023)  - p. 542-554 , 2023
Link: https://doi.org/10.1016/..
 
?
8

The Graph-Massivizer Approach Toward a European Sustainable..:

, In: 2023 IEEE 47th Annual Computers, Software, and Applications Conference (COMPSAC),
Molan, Martin ; Khan, Junaid Ahmed ; Bartolini, Andrea... - p. 1459-1464 , 2023
Link: https://doi.org/10.1109/..
 
?
9

Model for Quantitative Estimation of Functionality Influenc..:

Molan, Gregor ; Dolinar, Gregor ; Bojkovski, Jovan...
IEEE Access.  11 (2023)  - p. 115599-115616 , 2023
Link: https://doi.org/10.1109/..
 
?
10

Graph Neural Networks for Anomaly Anticipation in HPC Syste..:

, In: Companion of the 2023 ACM/SPEC International Conference on Performance Engineering,
Molan, Martin ; Ahmed Khan, Junaid ; Borghesi, Andrea. - p. 239-244 , 2023
Link: https://dl.acm.org/doi/1..
 
?
11

Using neural networks to solve linear bilevel problems with..:

Molan, Ioana ; Schmidt, Martin
Optimization Letters.  17 (2023)  5 - p. 1083-1103 , 2023
Link: https://doi.org/10.1007/..
 
?
12

M100 ExaData: a data collection campaign on the CINECA's Ma..:

Borghesi, Andrea ; Di Santi, Carmine ; Molan, Martin...
Scientific Data.  10 (2023)  1 - p. , 2023
Link: https://doi.org/10.1038/..
 
?
13

M100 dataset 9: 22-06:

Andrea Borghesi ; Carmine Di Santi ; Martin Molan...
info:eu-repo/grantAgreement/EC/H2020/956560/.  , 2023
Link: https://zenodo.org/recor..
 
?
14

M100 dataset 11: 22-08:

Andrea Borghesi ; Carmine Di Santi ; Martin Molan...
info:eu-repo/grantAgreement/EC/H2020/956560/.  , 2023
Link: https://zenodo.org/recor..
 
?
15

M100 dataset 4: from 21-10 to 21-12:

Andrea Borghesi ; Carmine Di Santi ; Martin Molan...
info:eu-repo/grantAgreement/EC/H2020/956560/.  , 2023
Link: https://zenodo.org/recor..
 
1-15