HERO: Heterogeneous Embedded Research Platform for Exploring RISC-V Manycore Accelerators on FPGA
Heterogeneous embedded systems on chip (HESoCs) co-integrate a standard host processor with programmable manycore accelerators (PMCAs) to combine general-purpose computing with domain-specific, efficient processing capabilities.
Benini, Luca+4 more
core +1 more source
Development of Classroom Tools for a RISC-V Embedded System [PDF]
RISC-V is an open-source instruction set that has been gaining popularity in recent years, and, with support from large chip manufacturers like Intel and the benefits of its open-source nature, RISC-V devices are likely to continue gaining momentum. Many
Phillips, Lucas
core +1 more source
Audio Denoising Coprocessor Based on RISC-V Custom Instruction Set Extension
As a typical active noise control algorithm, Filtered-x Least Mean Square (FxLMS) is widely used in the field of audio denoising. In this study, an audio denoising coprocessor based on Retrenched Injunction System Computer-V (RISC-V), a custom ...
Jun Yuan+5 more
doaj +1 more source
Integrating SystemC-AMS Power Modeling with a RISC-V ISS for Virtual Prototyping of Battery-operated Embedded Devices [PDF]
RISC-V cores have gained a lot of popularity over the last few years. However, being quite a recent and novel technology, there is still a gap in the availability of comprehensive simulation frameworks for RISC-V that cover both the functional and extra ...
Mohamed Amine Hamdi+8 more
semanticscholar +1 more source
Enhancing Fault Awareness and Reliability of a Fault-Tolerant RISC-V System-on-Chip
Recent research has shown interest in adopting the RISC-V processors for high-reliability electronics, such as aerospace applications. The openness of this architecture enables the implementation and customization of the processor features to increase ...
D. Santos+3 more
semanticscholar +1 more source
Machine Learning‐Enabled Polymer Discovery for Enhanced Pulmonary siRNA Delivery
This study provides an efficient approach to train a machine learning model by merging heterogeneous literature data to predict suitable polymers for siRNA delivery. Without the need for extensive laboratory synthesis, the machine learning enabled a virtual screening and successfully predicted a polymer that is validated for effective gene silencing in
Felix Sieber‐Schäfer+10 more
wiley +1 more source
Digital Signal Processing Accelerator for RISC-V [PDF]
In this work, we present a configurable accelerator for the RISC-V processor oriented to digital signal processing applications for energy efficient Internet-of-Things devices. The supported operations in the accelerator are addition, multiplication, and linear combination.
Calicchia L.+6 more
openaire +2 more sources
From FPGA to ASIC: A RISC-V processor experience [PDF]
This work document a correct design flow using these tools in the Lagarto RISC- V Processor and the RTL design considerations that must be taken into account, to move from a design for FPGA to design for ...
Rojas Morales, Carlos
core +1 more source
Design of System On Chip with RISC-V processor for USI graphical pen controller [PDF]
Tato diplomová práce se zabývá RTL návrhem a implementací systému systému na čipu na procesorové platformě RISC-V pro USI ovladač grafického pera. Současný SoC ovladače pera založeného na CoolRISC je analyzován a na základě této analýzy je vytvořen ...
Martin Stahl
core
Comprehensive analysis of energy efficiency and performance of ARM and RISC-V SoCs
Over the past few years, ARM has been the dominant player in embedded systems and System-on-Chips (SoCs). With the emergence of hardware platforms based on the RISC-V architecture, a practical comparison focusing on their energy efficiency and ...
Daniel Suárez, F. Almeida, V. Blanco
semanticscholar +1 more source