基于SRAM的内存计算(CIM)研究阅读清单。
compute-in-memory 开源项目推荐(25 个)
compute-in-memory 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 前 20
按 Star 数排序展示前 20 个 · GitHub 共 25 个仓库IHP26a TinyTapeout 实现的 RISC-V CPU,集成基于 SRAM 的存内计算(CIM)加速器,用于执行高效模拟矩阵乘法。
LLM 推理 SoC
从 ANN 到事件驱动 SNN 的四阶段结构演化极简 PyTorch 示例:阶段 0(基线 ANN)→ 阶段 1(二值化)→ 阶段 2(时序扩展)→ 阶段 3(时序累积)→ 阶段 4(复位与稀疏性控制)。
用于交叉阵列的 DUB 稀疏性
PSumSim:用于模拟矩阵-向量乘法器的部分和量化模拟器
Hybrid LLM accelerator: systolic array for prefill, 8T-SRAM in-memory core for decode
从零诞生的存算一体编程语言与基座 ⚛ 一切语言的源头也是尽头。10语言源头汇合(C/C#/Rust/Python/Lisp/Haskell/Erlang/APL/Q#/J)、统一XL01字节码、自研编译器栈、自举、从零训练10M参数线性注意力基座。The origin and the end of all languages. Storage-compute unity, born from scratch.
Two brains on one analog substrate from ~80% unsupervised SCFF bulk + ~20% closed-form SLDA namer: the math model for a forward-only, on-chip continual learner. Behavioral simulation, no silicon. Draft 6.0 = the "baby neocortex," validated across 11 phases.
Some experiments to perform parallel data operations (compute-in-memory) on a 1980ies DRAM chip controlled with a CH32V003 RISC-V MCU
HyperMR: Efficient Hypergraph-enhanced Matrix Storage on Compute-in-Memory Architecture. This work is presented at SIGMOD 2025.
PmCp — Persistent Memory Core Processing: compute-in-persistent-memory runtime with a deterministic extent ISA, crash-safe journal, and Chamber-signed provenance
Witmem Technology / 知存科技 employee referral, careers and recruiting information
Sensitivity-aware placement of GPT-2 onto aging analog in-memory computing (AIMC) tiles: hardware-aware fine-tuning, noise-sensitivity profiling, tile-aging simulation, and lifetime evaluation with IBM AIHWKit.
Tile-budgeted Tensor-Train rank allocation for PIM / compute-in-memory crossbars: 203 tiles vs 254 (param budget) and 601 (uniform eps) to stay within 1 pt of dense ResNet-18 on CIFAR-10 (91.49%, 698 tiles at T=128). Also DS-CNN keyword spotting: 62 vs 70 dense tiles. TT-SVD, tile cost model, pareto sweeps.
Closed-loop HW/SW co-design for compute-in-memory accelerators — NSGA-II searches per-layer weight precision and column pruning, verified by real PyTorch QAT and physics simulation. The LLM explains the search; it never produces the numbers.
Visual system design interview atlas for backend, systems, hardware, embedded, and ACiM NPU design
A simple CIM compiler based on MLIR
Research framework for CIM/PIM tensor execution, heterogeneous simulation, and reproducible comparisons.
houmo — independent third-party profile of a public API surface, by API Evangelist. HOUMO.AI (后摩智能) is a Chinese fabless semiconductor company founded in 2020 that develops compute-in-memory (CIM / storage-and-computation integrated) edge AI chips for running large language models and other AI workloads on endpoint devices.
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/compute-in-memory。
- 该话题在 GitHub 上共有 25 个仓库, 本站收录的是其中最热门的 20 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 20 个项目累计 186 Star,覆盖 4 种主要语言,数据更新于 2026-11-10。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。