Design of a Level-1 Data Cache for the Processor Based on Single Instruction Multiple Threads

This paper presents the design and Verilog implementation of a Level-1 data cache targeting the high-concurrency memory access requirements of a custom-instruction-set SIMT architecture processor. By introducing a multi-bank architecture and a row interleaving strategy, consecutive cache lines are distributed across different banks, effectively exploiting data locality among concurrent threads in the SIMT processor. The design of the Miss Status Handling Register (MSHR) supports non-blocking execution in the custom-instruction-set SIMT processor, adopting content-addressable memory and dual-issue two-stage pipelines. In Verilog RTL simulation tests based on convolutional neural network workloads using the custom instruction set, the data cache consistently reduces data transfer latency and improves overall processor performance across various configurations.

Authors

Institutions

Publication Details

Published
2024-12-27
DOI
https://doi.org/10.1109/eiecc64539.2024.10929160
Primary Topic
Parallel Computing and Optimization Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Design of a Level-1 Data Cache for the Processor Based on Single Instruction Multiple Threads

Songxuan Li
Parallel Computing and Optimization Techniques
article

Design of a Level-1 Data Cache for the Processor Based on Single Instruction Multiple Threads

Songxuan Li
article en

Abstract

This paper presents the design and Verilog implementation of a Level-1 data cache targeting the high-concurrency memory access requirements of a custom-instruction-set SIMT architecture processor. By introducing a multi-bank architecture and a row interleaving strategy, consecutive cache lines are distributed across different banks, effectively exploiting data locality among concurrent threads in the SIMT processor. The design of the Miss Status Handling Register (MSHR) supports non-blocking execution in the custom-instruction-set SIMT processor, adopting content-addressable memory and dual-issue two-stage pipelines. In Verilog RTL simulation tests based on convolutional neural network workloads using the custom instruction set, the data cache consistently reduces data transfer latency and improves overall processor performance across various configurations.

Xi’an University of Posts and Telecommunications (CN)
Affordable and clean energy
Openalex Percentile: Top 68%
Parallel Computing and Optimization Techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.