57 citations
- University of California, MercedUS9 papers
- AGH University of KrakowPL7 papers
- Donghua UniversityCN4 papers
- École Polytechnique Fédérale de LausanneCH4 papers
- Technical University of MunichDE3 papers
- Centre National de la Recherche ScientifiqueFR2 papers
- Institut national de recherche en sciences et technologies du numériqueFR2 papers
- Institut Polytechnique de ParisFR2 papers
- Intelligent Systems Research (United States)US2 papers
- LIP6FR2 papers
- Nanyang Technological UniversitySG2 papers
- RWTH Aachen UniversityDE2 papers
7 papers · 1 filter
Introducing Instruction-Accurate Simulators for Performance Estimation of Autotuning Workloads
Rebecca Pelke, Nils Bosbach, Lennart M. Reimann +1
Accelerating Machine Learning (ML) workloads requires efficient methods due to their large optimization space. Autotuning has emerged as an effective approach for systematically ev…
STRELA: STReaming ELAstic CGRA Accelerator for Embedded Systems
Daniel Vazquez, Jose Miranda, Alfonso Rodriguez +3
Reconfigurable computing offers a good balance between flexibility and energy efficiency. When combined with software-programmable devices such as CPUs, it is possible to obtain hi…
A Review of Techniques for Ageing Detection and Monitoring on Embedded Systems
Leandro Lanzieri, Gianluca Martino, Goerschwin Fey +3
Embedded digital devices are progressively deployed in dependable or safety-critical systems. These devices undergo significant hardware ageing, particularly in harsh environments.…
An Application-Specific VLIW Processor with Vector Instruction Set for CNN Acceleration
Andreas Bytyn, Rainer Leupers, Gerd Ascheid
In recent years, neural networks have surpassed classical algorithms in areas such as object recognition, e.g. in the well-known ImageNet challenge. As a result, great effort is be…
eQASM: An Executable Quantum Instruction Set Architecture
X. Fu, L. Riesebos, M. A. Rol +13
A widely-used quantum programming paradigm comprises of both the data flow and control flow. Existing quantum hardware cannot well support the control flow, significantly limiting…
Kickstarting High-performance Energy-efficient Manycore Architectures with Epiphany
Andreas Olofsson, Tomas Nordström, Zain Ul-Abdin
In this paper we introduce Epiphany as a high-performance energy-efficient manycore architecture suitable for real-time embedded systems. This scalable architecture supports floati…