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Deep learning and reconfigurable platforms in the internet of things: Challenges and opportunities in algorithms and hardware
As the Internet of Things (IoT) continues its run as one of the most popular technology
buzzwords of today, the discussion really turns from how the massive data sets are collected …
buzzwords of today, the discussion really turns from how the massive data sets are collected …
SMAUG: End-to-end full-stack simulation infrastructure for deep learning workloads
In recent years, there has been tremendous advances in hardware acceleration of deep
neural networks. However, most of the research has focused on optimizing accelerator …
neural networks. However, most of the research has focused on optimizing accelerator …
A framework for supporting real-time applications on dynamic reconfigurable FPGAs
Computing platforms are evolving towards heterogeneous architectures including
processors of different types and field programmable gate arrays (FPGAs), used as …
processors of different types and field programmable gate arrays (FPGAs), used as …
The security of ARM TrustZone in a FPGA-based SoC
Cybersecurity of embedded systems has become a major challenge for the development of
the Internet of Things, of Cloud computing and other trendy applications without devoting a …
the Internet of Things, of Cloud computing and other trendy applications without devoting a …
Cohmeleon: Learning-based orchestration of accelerator coherence in heterogeneous SoCs
One of the most critical aspects of integrating loosely-coupled accelerators in
heterogeneous SoC architectures is orchestrating their interactions with the memory …
heterogeneous SoC architectures is orchestrating their interactions with the memory …
Unexpected diversity: Quantitative memory analysis for zynq ultrascale+ systems
Memory throughput is one of the major bottlenecks for accelerator performance. Now that
Zynq UltraScale+ systems are being deployed at exascale to edge, it is important to …
Zynq UltraScale+ systems are being deployed at exascale to edge, it is important to …
Comparison of on-chip communications in Zynq-7000 all programmable systems-on-chip
This letter analyses and compares on-chip interfaces for hardware/software communications
in the Zynq-7000 all programmable systems-on-chip. Many experiments were carried out to …
in the Zynq-7000 all programmable systems-on-chip. Many experiments were carried out to …
Performance characterization and design guidelines for efficient processor–FPGA communication in Cyclone V FPSoCs
Field programmable systems-on-chip (FPS-oCs) are heterogeneous reconfigurable
platforms consisting of hard processors and FPGA fabric. They provide software designers …
platforms consisting of hard processors and FPGA fabric. They provide software designers …
Smiv: A 16-nm 25-mm² soc for iot with arm cortex-a53, efpga, and coherent accelerators
Emerging Internet of Things (IoT) devices necessitate system-on-chips (SoCs) that can scale
from ultralow power always-on (AON) operation, all the way up to less frequent high …
from ultralow power always-on (AON) operation, all the way up to less frequent high …
Reprovide: Towards utilizing heterogeneous partially reconfigurable architectures for near-memory data processing
Reconfigurable hardware such as Field-programmable Gate Arrays (FPGAs) is widely used
for data processing in databases. Most of the related work focuses on accelerating one or a …
for data processing in databases. Most of the related work focuses on accelerating one or a …