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High-performance embedded computing in space: Evaluation of platforms for vision-based navigation
Vision-based navigation has become increasingly important in a variety of space
applications for enhancing autonomy and dependability. Future missions, such as active …
applications for enhancing autonomy and dependability. Future missions, such as active …
Towards native code offloading based MCC frameworks for multimedia applications: A survey
A number of resource-intensive applications, such as augmented reality, natural language
processing, object recognition, and multimedia-based software are pushing the …
processing, object recognition, and multimedia-based software are pushing the …
Novel computer architectures and quantum chemistry
Electronic structure theory (especially quantum chemistry) has thrived and has become
increasingly relevant to a broad spectrum of scientific endeavors as the sophistication of …
increasingly relevant to a broad spectrum of scientific endeavors as the sophistication of …
Tandem processor: Grappling with emerging operators in neural networks
With the ever increasing prevalence of neural networks and the upheaval from the language
models, it is time to rethink neural acceleration. Up to this point, the broader research …
models, it is time to rethink neural acceleration. Up to this point, the broader research …
Bitflow: Exploiting vector parallelism for binary neural networks on cpu
Deep learning has revolutionized computer vision and other fields since its big bang in
2012. However, it is challenging to deploy Deep Neural Networks (DNNs) into real-world …
2012. However, it is challenging to deploy Deep Neural Networks (DNNs) into real-world …
Programming the Adapteva Epiphany 64-core network-on-chip coprocessor
Energy efficiency is the primary impediment in the path to exascale computing.
Consequently, the high-performance computing community is increasingly interested in low …
Consequently, the high-performance computing community is increasingly interested in low …
Design and implementation of 2D convolution on x86/x64 processors
In this paper, a new method for accelerating the 2D direct Convolution operation on x86/x64
processors is presented. It includes efficient vectorization by using SIMD intrinsics, bit …
processors is presented. It includes efficient vectorization by using SIMD intrinsics, bit …
SIMDOM: a framework for SIMD instruction translation and offloading in heterogeneous mobile architectures
Fog and mobile edge computing is a paradigm that augments resource‐scarce mobile
devices with resource‐rich network servers to enable ubiquitous computing. Smartphone …
devices with resource‐rich network servers to enable ubiquitous computing. Smartphone …
A low-power transprecision floating-point cluster for efficient near-sensor data analytics
Recent applications in low-power (1-20 mW) near-sensor computing require the adoption of
floating-point arithmetic to reconcile high precision results with a wide dynamic range. In this …
floating-point arithmetic to reconcile high precision results with a wide dynamic range. In this …
[HTML][HTML] Enabling image-based streamflow monitoring at the edge
Monitoring streamflow velocity is of paramount importance for water resources management
and in engineering practice. To this aim, image-based approaches have proved to be …
and in engineering practice. To this aim, image-based approaches have proved to be …