Zobrazeno 1 - 10
of 86
pro vyhledávání: '"Björn Lisper"'
DeepAxe: A Framework for Exploration of Approximation and Reliability Trade-offs in DNN Accelerators
Autor:
Mahdi Taheri, Mohammad Riazati, Mohammad Hasan Ahmadilivani, Maksim Jenihhin, Masoud Daneshtalab, Jaan Raik, Mikael Sjödin, Björn Lisper
While the role of Deep Neural Networks (DNNs) in a wide range of safety-critical applications is expanding, emerging DNNs experience massive growth in terms of computation power. It raises the necessity of improving the reliability of DNN accelerator
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7a0344dac8b5f872b997b4aaa1159c22
http://arxiv.org/abs/2303.08226
http://arxiv.org/abs/2303.08226
Autor:
Federico Ciccozzi, Lorenzo Addazi, Sara Abbaspour Asadollah, Björn Lisper, Abu Naser Masud, Saad Mubeen
Publikováno v:
ACM Computing Surveys. 55:1-39
Software-intensive systems in most domains, from autonomous vehicles to health, are becoming predominantly parallel to efficiently manage large amount of data in short (even real-) time. There is an incredibly rich literature on languages for paralle
Publikováno v:
Software Quality Journal. 30:127-159
Test automation brings the potential to reduce costs and human effort, but several aspects of software testing remain challenging to automate. One such example is automated performance testing to find performance breaking points. Current approaches t
Autor:
Abu Naser Masud, Björn Lisper
Publikováno v:
ACM Transactions on Programming Languages and Systems. 42:1-56
Existing proofs of correctness for dependence-based slicing methods are limited either to the slicing of intraprocedural programs [2, 39], or the proof is only applicable to a specific slicing method [4, 41]. We contribute a general proof of correctn
Autor:
Abu Naser Masud, Björn Lisper
Publikováno v:
Proceedings of the 31st ACM SIGPLAN International Conference on Compiler Construction.
Autor:
Mahshid Helali Moghadam, Mehrdad Saadatmand, Björn Lisper, Golrokh Hamidi, Markus Bohlin, Markus Borg, Pasqualina Potena
Publikováno v:
CEC
Performance testing with the aim of generating an efficient and effective workload to identify performance issues is challenging. Many of the automated approaches mainly rely on analyzing system models, source code, or extracting the usage pattern of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9eb9824acb30ca85503d52afab17908a
http://arxiv.org/abs/2104.12893
http://arxiv.org/abs/2104.12893
Publikováno v:
ICECS
Deep neural networks (DNN) have achieved quality results in various applications of computer vision, especially in image classification problems. DNNs are computational intensive, and nowadays, their acceleration on the FPGA has received much attenti
Publikováno v:
AST@ICSE
During testing of parallel systems, which allow asynchronous communication, test flakiness is sometimes avoided by explicitly inserting delays in test code. The choice of delay approach can be a trade-off between short-term gain and long-term robustn
Publikováno v:
ICST
Performance testing remains a challenge, particularly for complex systems. Different application-, platform- and workload-based factors can influence the performance of software under test. Common approaches for generating platform- and workload-base
Autor:
Mohammad Riazati, Jaan Raik, Björn Lisper, Tara Ghasempouri, Mikael Sjödin, Masoud Daneshtalab
Publikováno v:
DSD
Self-healing is a promising approach for designing reliable digital systems. It refers to the ability of a system to detect faults and automatically fixing them to avoid total failure. With the development of digital systems, heterogeneous systems, i