Load value approximation
Approximate computing explores opportunities that emerge when applications can tolerate
error or inexactness. These applications, which range from multimedia processing to …
error or inexactness. These applications, which range from multimedia processing to …
Lossless and lossy memory I/O link compression for improving performance of GPGPU workloads
State-of-the-art graphic processing units (GPUs) provide very high memory bandwidth, but
the performance of many general-purpose GPU (GPGPU) workloads is still bounded by …
the performance of many general-purpose GPU (GPGPU) workloads is still bounded by …
GPGPUs: How to combine high computational power with high reliability
GPGPUs are used increasingly in several domains, from gaming to different kinds of
computationally intensive applications. In many applications GPGPU reliability is becoming …
computationally intensive applications. In many applications GPGPU reliability is becoming …
The Kautham Project: A teaching and research tool for robot motion planning
This paper presents the software tool used at the Institute of Industrial and Control
Engineering (IOC-UPC) for teaching and research in robot motion planning. The tool allows …
Engineering (IOC-UPC) for teaching and research in robot motion planning. The tool allows …
The art of deception: Adaptive precision reduction for area efficient physics acceleration
T Yeh, P Faloutsos, M Ercegovac… - 40th Annual IEEE …, 2007 - ieeexplore.ieee.org
Physics-based animation has enormous potential to improve the realism of interactive
entertainment through dynamic, immersive content creation. Despite the massively parallel …
entertainment through dynamic, immersive content creation. Despite the massively parallel …
S-SETA: Selective software-only error-detection technique using assertions
E Chielle, GS Rodrigues… - IEEE transactions on …, 2015 - ieeexplore.ieee.org
Software-based techniques offer several advantages to increase the reliability of processor-
based systems at very low cost, but they cause performance degradation and an increase of …
based systems at very low cost, but they cause performance degradation and an increase of …
Sustainable computational mechanics assisted by deep learning
A Oishi, G Yagawa - Computer Methods in Applied Mechanics and …, 2022 - Elsevier
This paper proposes a method to promote power saving in the computational mechanics
simulations by deep learning. The method is expected to contribute to the achievement of …
simulations by deep learning. The method is expected to contribute to the achievement of …
Assuring application-level correctness against soft errors
Traditionally, research in fault tolerance has required architectural state to be numerically
perfect for program execution to be correct. However, in many programs, even if execution is …
perfect for program execution to be correct. However, in many programs, even if execution is …
[PDF][PDF] On quantification of accuracy loss in approximate computing
Emerging applications such as R (ecognition), M (ining), and S (ynthesis) suit themselves
well to approximate computing due to their intrinsic noise tolerance. RMS applications …
well to approximate computing due to their intrinsic noise tolerance. RMS applications …
Selective SWIFT-R: A flexible software-based technique for soft error mitigation in low-cost embedded systems
F Restrepo-Calle, A Martínez-Álvarez… - Journal of Electronic …, 2013 - Springer
Commercial off-the-shelf microprocessors are the core of low-cost embedded systems due
to their programmability and cost-effectiveness. Recent advances in electronic technologies …
to their programmability and cost-effectiveness. Recent advances in electronic technologies …