Bit-Brick Cluster K1 – A 4-slot RISC-V cluster board for SpacemiT K1-based SSOM-K1 system-on-module - CNX Software

Bit-Brick Cluster K1 – A 4-slot RISC-V cluster board for SpacemiT K1-based SSOM-K1 system-on-module - CNX Software

Abstract

The Bit-Brick Cluster K1 is a new 4-slot RISC-V cluster board designed to utilize the SpacemiT K1-based SSOM-K1 system-on-module, enabling compact, multi-node computing. This platform facilitates the development and testing of parallel processing and distributed computing applications built upon the RISC-V architecture. The launch signifies a notable step in making scalable RISC-V cluster solutions more accessible to developers and researchers.

Report

Key Highlights

  • The primary innovation is the Bit-Brick Cluster K1, a carrier board specifically engineered for multi-node RISC-V clustering.
  • It features four dedicated slots to host the SpacemiT K1-based SSOM-K1 system-on-module (SOM).
  • The platform aims to provide a compact and affordable solution for experimenting with parallel processing and distributed computing using RISC-V.
  • This hardware enables the creation of small-scale computing clusters by linking multiple independent RISC-V processors.

Technical Details

  • Processor Basis: Relies on the SpacemiT K1 RISC-V processor architecture, contained within the SSOM-K1 modules.
  • Form Factor: Cluster board with support for four separate SOM nodes.
  • Modularity: Requires the proprietary SSOM-K1 modules to function, acting as a modular infrastructure for scaling computational power.
  • Target Use: Ideal for applications requiring shared memory access simulation, workload distribution, and network fabric testing in a controlled environment.

Implications

  • RISC-V Ecosystem Growth: The Bit-Brick Cluster K1 validates the trend of RISC-V moving into more specialized and scalable hardware markets beyond traditional single-board computers (SBCs).
  • Software Development Catalyst: Provides crucial hardware for developers to optimize RISC-V operating systems, parallel programming libraries (like MPI), and scheduling software for true multi-core/multi-node scenarios.
  • Lowering Entry Barriers: By offering a standardized, compact cluster solution, it makes advanced parallel computing research more accessible to academic institutions and independent developers interested in the RISC-V instruction set.
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