Mitigating Speculation-based Attacks through Configurable Hardware/Software Co-design

Autor: Hajiabadi, Ali, Agarwal, Archit, Diavastos, Andreas, Carlson, Trevor E.

New speculation-based attacks that affect large numbers of modern systems are disclosed regularly. Currently, CPU vendors regularly fall back to heavy-handed mitigations like using barriers or enforcing strict programming guidelines resulting in sign

Externí odkaz: http://arxiv.org/abs/2306.11291

Mitigating Power Attacks through Fine-Grained Instruction Reordering

Autor: Chen, Yun, Hajiabadi, Ali, Poussier, Romain, Diavastos, Andreas, Bhasin, Shivam, Carlson, Trevor E.

Side-channel attacks are a security exploit that take advantage of information leakage. They use measurement and analysis of physical parameters to reverse engineer and extract secrets from a system. Power analysis attacks in particular, collect a se

Externí odkaz: http://arxiv.org/abs/2107.11336

Efficient Instruction Scheduling Using Real-time Load Delay Tracking.

Autor: DIAVASTOS, ANDREAS¹ andreas.diavastos@upc.edu, CARLSON, TREVOR E.² tcarlson@comp.nus.edu.sg

Publikováno v: ACM Transactions on Computer Systems. Nov2022, Vol. 40 Issue 1-4, p1-21. 21p.

XFeatur: Hardware Feature Extraction for DNN Auto-tuning

Autor: Sierra Acosta, Jorge, Diavastos, Andreas, González Colás, Antonio María

Publikováno v: 2022 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS)
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Proceedings of the IEEE International Symposium on Performance Analysis of Systems and Software

In this work, we extend the auto-tuning process of the state-of-the-art TVM framework with XFeatur; a tool that extracts new meaningful hardware-related features that improve the quality of the representation of the search space and consequently impr

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::29fb21c854094d197a4c30f6fc4ed48e
https://doi.org/10.1109/ispass55109.2022.00013

Integrating Transactions into the Data-Driven Multi-threading Model Using the TFlux Platform.

Autor: Diavastos, Andreas¹ diavastos@cs.ucy.ac.cy, Trancoso, Pedro¹ pedro@cs.ucy.ac.cy, Luján, Mikel² mikel@cs.manchester.ac.uk, Watson, Ian² watson@cs.manchester.ac.uk

Publikováno v: International Journal of Parallel Programming. Apr2016, Vol. 44 Issue 2, p257-277. 21p.