☆76Feb 12, 2025Updated last year
Alternatives and similar repositories for PIMCOMP-NN
Users that are interested in PIMCOMP-NN are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆62Feb 29, 2024Updated 2 years ago
- [ASPLOS 2024] CIM-MLC: A Multi-level Compilation Stack for Computing-In-Memory Accelerators☆45May 25, 2024Updated last year
- PUMA Compiler☆30Oct 13, 2025Updated 5 months ago
- [ASPLOS 2019] PUMA-simulator provides a detailed simulation model of a dataflow architecture built with NVM (non-volatile memory), and ru…☆67Apr 17, 2023Updated 2 years ago
- Attentionlego☆13Jan 24, 2024Updated 2 years ago
- ☆18May 1, 2024Updated last year
- NVSim - A performance, energy and area estimation tool for non-volatile memory (NVM)☆136Aug 27, 2018Updated 7 years ago
- A Behavior-Level Modeling Tool for Memristor-based Neuromorphic Computing Systems☆200Nov 27, 2024Updated last year
- ☆34Jun 7, 2021Updated 4 years ago
- ☆32Aug 21, 2021Updated 4 years ago
- Benchmark framework of compute-in-memory based accelerators for deep neural network (inference engine focused)☆77Mar 9, 2025Updated last year
- PIMSim is a Process-In-Memory Simulator with the compatibility of GEM5 full-system simulation.☆214Apr 18, 2023Updated 2 years ago
- ☆10Sep 26, 2024Updated last year
- Processing-In-Memory (PIM) Simulator☆225Dec 12, 2024Updated last year
- A collection of research papers on SRAM-based compute-in-memory architectures.☆31Nov 2, 2023Updated 2 years ago
- CamJ: an energy modeling and system-level exploration framework for in-sensor visual computing☆24Sep 29, 2023Updated 2 years ago
- RTL code for the DPU chip designed for irregular graphs☆13May 30, 2022Updated 3 years ago
- [TVLSI 2025] ACiM Inference Simulation Framework in "ASiM: Modeling and Analyzing Inference Accuracy of SRAM-Based Analog CiM Circuits"☆27Sep 9, 2025Updated 6 months ago
- Benchmark framework of compute-in-memory based accelerators for deep neural network (on-chip training chip focused)☆183Feb 21, 2024Updated 2 years ago
- ☆41Mar 16, 2026Updated last week
- Neural Network Evaluation Tool on Crossbar-based Accelerator with Resistive Memory☆43Oct 30, 2019Updated 6 years ago
- A reading list for SRAM-based Compute-In-Memory (CIM) research.☆125Oct 29, 2025Updated 4 months ago
- MICRO 2023 Evaluation Artifact for TeAAL☆10Oct 26, 2023Updated 2 years ago
- ☆29Aug 4, 2025Updated 7 months ago
- ☆19Oct 7, 2025Updated 5 months ago
- This is a processing-in-memory simulator which models 3D-stacked memory within gem5. Also includes the workloads used for IMPICA (In-Memo…☆48Jun 2, 2017Updated 8 years ago
- Accelergy is an energy estimation infrastructure for accelerator energy estimations☆159May 26, 2025Updated 9 months ago
- Computing in memory optimizes data handling by performing operations directly in memory, ideal for high-speed data processing needs. This…☆32Nov 22, 2024Updated last year
- Framework based on Partial Reconfiguration for chip characterization utilizing ring-oscillator PUFs☆13Apr 1, 2020Updated 5 years ago
- DUTH RISC V Microprocessor for High Level Synthesis☆10Jun 23, 2023Updated 2 years ago
- Quantized training method for RRAM-based systems.☆12Sep 24, 2018Updated 7 years ago
- Benchmark framework of compute-in-memory based accelerators for deep neural network (inference engine focused)☆73Dec 20, 2023Updated 2 years ago
- A Unified Framework for Training, Mapping and Simulation of ReRAM-Based Convolutional Neural Network Acceleration☆37May 19, 2022Updated 3 years ago
- ☆18Mar 4, 2025Updated last year
- PIM-DL: Expanding the Applicability of Commodity DRAM-PIMs for Deep Learning via Algorithm-System Co-Optimization☆36Feb 21, 2024Updated 2 years ago
- HLS for Networks-on-Chip☆39Feb 18, 2021Updated 5 years ago
- An integrated cache and memory access time, cycle time, area, leakage, and dynamic power model☆538Jun 25, 2024Updated last year
- [ASP-DAC 2025] "NeuronQuant: Accurate and Efficient Post-Training Quantization for Spiking Neural Networks" Official Implementation☆19Mar 6, 2025Updated last year
- SparseP is the first open-source Sparse Matrix Vector Multiplication (SpMV) software package for real-world Processing-In-Memory (PIM) ar…☆80Jun 29, 2022Updated 3 years ago