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Dynamic Regulation of Gonadal Transposons and Pseudogenes via PIWI/piRNA Pathway in Gynogenetic Japanese Flounder (<i>Paralichthys olivaceus</i>). [PDF]
Liu Z +6 more
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The Contextual Adaptation and Digitization of an Online Parenting Program for Displaced Families: A Pilot Study With Latiné Immigrant Parents. [PDF]
Banegas JM +4 more
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Communications of the ACM, 2023
The case for in-memory inferencing of quantized CNNs at the edge.
Gabriel Falcao, João Dinis Ferreira
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The case for in-memory inferencing of quantized CNNs at the edge.
Gabriel Falcao, João Dinis Ferreira
openaire +1 more source
Queue, 2022
As artificial intelligence becomes a pervasive tool for the billions of IoT (Internet of things) devices at the edge, the data movement bottleneck imposes severe limitations on the performance and autonomy of these systems. PiM (processing-in-memory) is emerging as a way of mitigating the data movement bottleneck while satisfying the stringent ...
Gabriel Falcao, João Dinis Ferreira
openaire +1 more source
As artificial intelligence becomes a pervasive tool for the billions of IoT (Internet of things) devices at the edge, the data movement bottleneck imposes severe limitations on the performance and autonomy of these systems. PiM (processing-in-memory) is emerging as a way of mitigating the data movement bottleneck while satisfying the stringent ...
Gabriel Falcao, João Dinis Ferreira
openaire +1 more source
Proceedings of the International Symposium on Memory Systems, 2019
Stencil computation is a classic computational kernel present in many high-performance scientific applications, like image processing and partial differential equation solvers (PDE). A stencil computation sweeps over a multi-dimensional grid and repeatedly updates values associated with points using the values from neighboring points.
Jie Li +5 more
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Stencil computation is a classic computational kernel present in many high-performance scientific applications, like image processing and partial differential equation solvers (PDE). A stencil computation sweeps over a multi-dimensional grid and repeatedly updates values associated with points using the values from neighboring points.
Jie Li +5 more
openaire +1 more source
Proceedings of the 23rd international symposium on High-performance parallel and distributed computing, 2014
As computation becomes increasingly limited by data movement and energy consumption, exploiting locality throughout the memory hierarchy becomes critical to continued performance scaling. Moving computation closer to memory presents an opportunity to reduce both energy and data movement overheads.
Dongping Zhang +5 more
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As computation becomes increasingly limited by data movement and energy consumption, exploiting locality throughout the memory hierarchy becomes critical to continued performance scaling. Moving computation closer to memory presents an opportunity to reduce both energy and data movement overheads.
Dongping Zhang +5 more
openaire +1 more source

