Mining CryptoNight-Haven on the Varium C1100 Blockchain Accelerator Card

12/09/2022
by   Lucas Bex, et al.
0

Cryptocurrency mining is an energy-intensive process that presents a prime candidate for hardware acceleration. This work-in-progress presents the first coprocessor design for the ASIC-resistant CryptoNight-Haven Proof of Work (PoW) algorithm. We construct our hardware accelerator as a Xilinx Run Time (XRT) RTL kernel targeting the Xilinx Varium C1100 Blockchain Accelerator Card. The design employs deeply pipelined computation and High Bandwidth Memory (HBM) for the underlying scratchpad data. We aim to compare our accelerator to existing CPU and GPU miners to show increased throughput and energy efficiency of its hash computations

READ FULL TEXT

page 1

page 2

research
02/20/2017

A GPU-Outperforming FPGA Accelerator Architecture for Binary Convolutional Neural Networks

FPGA-based hardware accelerators for convolutional neural networks (CNNs...
research
05/31/2019

Efficient Multiway Hash Join on Reconfigurable Hardware

We propose the algorithms for performing multiway joins using a new type...
research
05/04/2021

A Power and Area Efficient Lepton Hardware Encoder with Hash-based Memory Optimization

Although it has been surpassed by many subsequent coding standards, JPEG...
research
07/21/2020

TCIM: Triangle Counting Acceleration With Processing-In-MRAM Architecture

Triangle counting (TC) is a fundamental problem in graph analysis and ha...
research
05/13/2021

Combining Emulation and Simulation to Evaluate a Near Memory Key/Value Lookup Accelerator

Processing large numbers of key/value lookups is an integral part of mod...
research
08/21/2017

GraphR: Accelerating Graph Processing Using ReRAM

This paper presents GRAPHR, the first ReRAM-based graph processing accel...
research
10/07/2021

MAPA: Multi-Accelerator Pattern Allocation Policy for Multi-Tenant GPU Servers

Multi-accelerator servers are increasingly being deployed in shared mult...

Please sign up or login with your details

Forgot password? Click here to reset