Jul 2026· 2026 7th International Conference on Smart Systems and Inventive Technology (ICSSIT)· pp. 192-198· 0 citations· 21 references
Abstract
The rise in edge computing, and domain-specific workloads, necessitates the development of hardware acceleration with increased flexibility and lower latency that will be tightly coupled to open-source processor cores. In this paper, we explore the design and bare-metal implementation of a RISC-V SoC comprising a PicoRV32 scalar core and two memory-mapped hardware accelerators: FPSQRT core and a reconfigurable CRC-32 integrity engine. Using a customized three-state AXI4-Lite FSM-based interface, our design effectively separates the acceleration compute latency from that of the bus timings enabling bare-metal firmware to perform its coprocessor computations without OS intervention. Simulation results show performance speed-ups of 1.96x and 9x for the FPSQRT and CRC-32 respectively giving a total speedup of 12x relative to software only. Post-implementation synthesis on the Xilinx Zynq-7000 family FPGA (XC7Z020) shows full timing closure at a clock frequency of 100 MHz with WNS of +7.058 ns. Resource utilization figures are exceptionally low with the design requiring only 5,208 Slice LUT (9.8%), and 11.4% of block RAM with total on-chip power dissipation of 1.694 W. Our hardware-in-the-loop test on the Digilent ZedBoard confirmed the functional accuracy and operational stability with bare-metal operation status confirmed by LED (T21, T22) and a serial console.
A systolic array-based accelerator prototype implemented on the Zynq-7000 SoC integrated directly into PyTorch, enabling dense linear algebra to be delegated to the FPGA chip while Cortex-A9 continues executing the software stack uninterrupted.
Omar Hernandez-Yañez, A. Juárez-Lora, J. Y. Montiel-Pérez et al.· Electronics· 0 citations
The paper describes the architecture, implementation, and testing of a lightweight 32-bit RISC-V processor equipped with a MAC and single-layer perceptron accelerators. In this work, a simple approach to integrate acceleration components using the classic five-stage pipeline structure (IF, ID, EX, MEM, WB) without any...
Vivek Raju Kosigi, B. C. Marepally· 2026 7th International Confe...· 0 citations
With the rise in popularity of applications requiring high-performance arithmetic acceleration, there’s an increasing need for architectural enhancements to low-power embedded and signal processor cores. This paper discusses the design and hardware implementation of an application-specific Multiply-Accumulate (MAC) ins...
S. Hemajothi, S. Jalaja, M. Kishore et al.· International Conference on...· 0 citations
This paper describes NexusV, a small, ultra-low-power, 32-bit RV32I+ZiCSR RISC-V softcore microcontroller optimized for resource-constrained embedded systems. The processor employs a deterministic multi-cycle design that timemultiplexes a single Arithmetic Logic Unit (ALU) to minimize datapath logic. Synthesized on the...
Prithiviraj Rajalingam, Sudeshna Shettygari, S. S. et al.· 2026 International Conferenc...· 0 citations
A hierarchical multiplier architecture consisting of partial-product generation, 4–2 compressor-tree reduction, and a look-ahead adder is developed to improve multiplication throughput and reduce latency compared with conventional Wallace-tree implementations.
This paper describes DeepSig's CUDA-based acceleration backend for the OCUDU physical layer and O-RAN fronthaul path, integrated through acceleration interfaces that are largely independent of the underlying acceleration mechanism. The design accelerates PDSCH, PUSCH, SRS, PRACH, split-8 lower-PHY transforms, and O-RAN...
M. Pennybacker, Wanze Liu, A. Kharchenko et al.· 2 citations
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