Genmap: A genetic algorithmic approach for optimizing spatial mapping of coarse-grained reconfigurable architectures
Coarse-grained reconfigurable architectures (CGRAs) are expected to be used for
embedded systems, Internet of Things (IoT) devices, and edge computing thanks to their …
embedded systems, Internet of Things (IoT) devices, and edge computing thanks to their …
Data-flow graph mapping optimization for CGRA with deep reinforcement learning
Coarse-grained reconfigurable architectures (CGRAs) have drawn increasing attention due
to their flexibility and energy efficiency. Data flow graphs (DFGs) are often mapped onto …
to their flexibility and energy efficiency. Data flow graphs (DFGs) are often mapped onto …
Mapzero: Mapping for coarse-grained reconfigurable architectures with reinforcement learning and monte-carlo tree search
Coarse-grained reconfigurable architecture (CGRA) has become a promising candidate for
data-intensive computing due to its flexibility and high energy efficiency. CGRA compilers …
data-intensive computing due to its flexibility and high energy efficiency. CGRA compilers …
Coarse-Grained Reconfigurable Array (CGRA)
Coarse-grained reconfigurable array (CGRA) is a promising class of spatial accelerator that
offers high performance, energy efficiency, as well as flexibility to support a wide range of …
offers high performance, energy efficiency, as well as flexibility to support a wide range of …
PVHArray: An energy-efficient reconfigurable cryptographic logic array with intelligent mapping
Y Du, W Li, Z Dai, L Nan - … on Very Large Scale Integration (VLSI …, 2020 - ieeexplore.ieee.org
This article presents a coarse-grained reconfigurable cryptographic logic array named
PVHArray and an intelligent mapping algorithm for cryptographic algorithms. We propose …
PVHArray and an intelligent mapping algorithm for cryptographic algorithms. We propose …
Mapping-aware kernel partitioning method for cgras assisted by deep learning
Coarse-grained reconfigurable architectures (CGRAs) provide high energy efficiency with
word-level programmability rather than bit-level ones such as FPGAs. The coarser …
word-level programmability rather than bit-level ones such as FPGAs. The coarser …
GCN-RA: A graph convolutional network-based resource allocator for reconfigurable systems
SM Mohtavipour, HS Shahhoseini - Journal of Computational Science, 2023 - Elsevier
Nowadays, hardware architectures with various reconfiguration capabilities provide
significant computational speedup using parallelism and concurrency features. However …
significant computational speedup using parallelism and concurrency features. However …
CaSMap: agile mapper for reconfigurable spatial architectures by automatically c lustering intermediate representations a nd s cattering mapping process
Today, reconfigurable spatial architectures (RSAs) have sprung up as accelerators for
compute-and data-intensive domains because they deliver energy and area efficiency close …
compute-and data-intensive domains because they deliver energy and area efficiency close …
Floating point CGRA based ultra-low power DSP accelerator
Abstract Coarse Grained Reconfigurable Arrays (CGRAs) are emerging as energy efficient
accelerators providing a high grade of flexibility in both academia and industry. However …
accelerators providing a high grade of flexibility in both academia and industry. However …
E2EMap: End-to-End Reinforcement Learning for CGRA Compilation via Reverse Mapping
Coarse-Grained Reconfigurable Arrays (CGRAs) are a promising architecture to cope with
the challenges of increasing demand for high performance and high energy efficiency …
the challenges of increasing demand for high performance and high energy efficiency …