Approximate computing explores opportunities that emerge when applications can tolerate
error or inexactness. These applications, which range from multimedia processing to …

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 …

GPGPUs are used increasingly in several domains, from gaming to different kinds of
computationally intensive applications. In many applications GPGPU reliability is becoming …

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 …

Physics-based animation has enormous potential to improve the realism of interactive
entertainment through dynamic, immersive content creation. Despite the massively parallel …

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 …

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 …

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 …

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 …

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 …