first-order deep learning accelerator model
☆22Nov 27, 2017Updated 8 years ago
Alternatives and similar repositories for fodlam
Users that are interested in fodlam are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- MNSIM version 1.1. We have uploaded a high-level modeling tool and please use this version: https://github.com/Zhu-Zhenhua/MNSIM_Python☆12Dec 12, 2019Updated 6 years ago
- HLS project modeling various sparse accelerators.☆12Jan 11, 2022Updated 4 years ago
- Source code for the architectural and circuit-level simulators used for modeling the CROW (Copy-ROW DRAM) mechanism proposed in our ISCA …☆17Aug 2, 2019Updated 6 years ago
- Systolic array based hardware for Image processing on the SPARTAN-6 FPGA☆13May 26, 2016Updated 10 years ago
- Stencil with Optimized Dataflow Architecture☆12Feb 27, 2024Updated 2 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Paper Collection of Deep Learning Hardware Accelerator☆17Jun 2, 2019Updated 7 years ago
- A LaTeX poster template for scientific posters.☆14Oct 11, 2012Updated 13 years ago
- High Quality Matlab Figures☆14May 31, 2013Updated 13 years ago
- ☆11Sep 3, 2022Updated 3 years ago
- Class project for COMP-781, Robotics. This is a CUDA-based collision detector for motion planning.☆13Apr 29, 2019Updated 7 years ago
- list of papers, code, datasets and other resources☆14Jul 22, 2022Updated 4 years ago
- ☆11Feb 11, 2019Updated 7 years ago
- ☆27Apr 28, 2020Updated 6 years ago
- A pre-RTL, power-performance model for fixed-function accelerators☆193Jan 17, 2024Updated 2 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Configurable point cloud registration pipeline.☆99Aug 11, 2020Updated 5 years ago
- ☆11Jul 25, 2018Updated 8 years ago
- Code for the ISCAS23 paper "The Hardware Impact of Quantization and Pruning for Weights in Spiking Neural Networks"☆11Apr 20, 2023Updated 3 years ago
- Quantized training method for RRAM-based systems.☆12Sep 24, 2018Updated 7 years ago
- Explore the energy-efficient dataflow scheduling for neural networks.☆237Apr 13, 2026Updated 3 months ago
- This project implemented an unoptimized simple convolutional neural network in ZYNQ's PL and realized data transmission through axidma dr…☆12Aug 5, 2018Updated 7 years ago
- HW/SW co-designed end-host RPC stack☆20Oct 28, 2021Updated 4 years ago
- Complete tutorial code.☆24Apr 29, 2024Updated 2 years ago
- DMA controller for CNN accelerator☆15May 22, 2017Updated 9 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Code for experiments referenced in the Usenix Security 2017 paper "Strong and Efficient Cache Side-Channel Protection using Hardware Tran…☆14Sep 8, 2022Updated 3 years ago
- MINT, Multiplier-less INTeger Quantization for Energy Efficient Spiking Neural Networks, ASP-DAC 2024, Nominated for Best Paper Award☆16Apr 12, 2024Updated 2 years ago
- Sparse CNN Accelerator targeting Intel FPGA☆15Aug 26, 2021Updated 4 years ago
- MNSIM_Python_v1.0. The former circuits-level version link: https://github.com/Zhu-Zhenhua/MNSIM_V1.1☆35Jan 5, 2024Updated 2 years ago
- Simple python scripts which identify papers authored by PC members in various conferences. Conference info pulled from DBLP.☆19Jun 9, 2020Updated 6 years ago
- ☆23Jun 12, 2021Updated 5 years ago
- ☆12Jan 1, 2015Updated 11 years ago
- Pytorch implementation of "Striving for Simplicity: The All Convolutional Net" (https://arxiv.org/abs/1412.6806)☆16Jul 4, 2018Updated 8 years ago
- PALM: A Efficient Performance Simulator for Tiled Accelerators with Large-scale Model Training☆21Jun 12, 2024Updated 2 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Benchmark framework of compute-in-memory based accelerators for deep neural network (inference engine focused)☆73Dec 20, 2023Updated 2 years ago
- Architecture for RRAM multilevel programming☆18Sep 6, 2018Updated 7 years ago
- Eliminating Keystroke Timing Attacks☆22Dec 12, 2017Updated 8 years ago
- CNN accelerator using NoC architecture☆18Dec 6, 2018Updated 7 years ago
- Motion Planning framework with visualization for autonomous driving☆12Aug 5, 2025Updated 11 months ago
- ☆19Sep 12, 2022Updated 3 years ago
- New Cache implementation using Gem5☆13Apr 2, 2014Updated 12 years ago