5500FP: A 24-Trit Balanced Ternary RISC Processor

We present the 5500FP, a 24-trit balanced ternary RISC processor implemented on FPGA, with a 120-instruction ISA, native atomic synchronization primitives, and an open hardware development board. The design demonstrates the practical feasibility of balanced ternary computing on modern reconfigurable hardware, providing a concrete platform for research into non-binary architectures without the barrier of custom silicon development.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-03-05
DOI
https://doi.org/10.5281/zenodo.18881738
Primary Topic
Embedded Systems Design Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

5500FP: A 24-Trit Balanced Ternary RISC Processor

Claudio Lorenzo La Rosa
Zenodo (CERN European Organization for Nuclear Research)
Embedded Systems Design Techniques
article

5500FP: A 24-Trit Balanced Ternary RISC Processor

Claudio Lorenzo La Rosa
article en

Abstract

We present the 5500FP, a 24-trit balanced ternary RISC processor implemented on FPGA, with a 120-instruction ISA, native atomic synchronization primitives, and an open hardware development board. The design demonstrates the practical feasibility of balanced ternary computing on modern reconfigurable hardware, providing a concrete platform for research into non-binary architectures without the barrier of custom silicon development.

Zenodo (CERN European Organization for Nuclear Research)
Industry, innovation and infrastructure
Openalex Percentile: Top 53%
Embedded Systems Design 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.