Cornell-RelaxML / Hyperdimensional-ComputingLinks
Official implementation for the paper "Understanding Hyperdimensional Computing for Parallel Single-Pass Learning"
☆22Updated 2 years ago
Alternatives and similar repositories for Hyperdimensional-Computing
Users that are interested in Hyperdimensional-Computing are comparing it to the libraries listed below
Sorting:
- Torch2Chip (MLSys, 2024)☆53Updated 4 months ago
- The official implementation of HPCA 2025 paper, Prosperity: Accelerating Spiking Neural Networks via Product Sparsity☆34Updated this week
- [ICML 2021] "Auto-NBA: Efficient and Effective Search Over the Joint Space of Networks, Bitwidths, and Accelerators" by Yonggan Fu, Yonga…☆16Updated 3 years ago
- ☆64Updated 2 months ago
- Artifact evaluation for HPCA'24 paper Lightening-Transformer: A Dynamically-operated Optically-interconnected Photonic Transformer Accele…☆10Updated last year
- Codebase for ICML'24 paper: Learning from Students: Applying t-Distributions to Explore Accurate and Efficient Formats for LLMs☆27Updated last year
- The official implementation of the DAC 2024 paper GQA-LUT☆20Updated 7 months ago
- ☆36Updated 3 years ago
- ☆35Updated 5 years ago
- ☆47Updated 10 months ago
- ☆37Updated last year
- SSR: Spatial Sequential Hybrid Architecture for Latency Throughput Tradeoff in Transformer Acceleration (Full Paper Accepted in FPGA'24)☆32Updated this week
- ☆11Updated 7 years ago
- LoAS: Fully Temporal-Parallel Dataflow for Dual-Sparse Spiking Neural Networks, MICRO 2024.☆12Updated 4 months ago
- [HPCA'21] SpAtten: Efficient Sparse Attention Architecture with Cascade Token and Head Pruning☆100Updated 11 months ago
- Simulator for LLM inference on an abstract 3D AIMC-based accelerator☆22Updated 3 months ago
- A dataflow architecture for universal graph neural network inference via multi-queue streaming.☆73Updated 2 years ago
- An open-sourced PyTorch library for developing energy efficient multiplication-less models and applications.☆13Updated 6 months ago
- Stochastic Computing for Deep Neural Networks☆33Updated 4 years ago
- DAC'22 paper: "Automated Accelerator Optimization Aided by Graph Neural Networks"☆40Updated last year
- [ASP-DAC 2025] "NeuronQuant: Accurate and Efficient Post-Training Quantization for Spiking Neural Networks" Official Implementation☆11Updated 5 months ago
- ACM TODAES Best Paper Award, 2022☆26Updated last year
- ☆10Updated last year
- This is a general-purpose simulator for unary computing based on PyTorch, with the paper accepted to ISCA 2020 and awarded IEEE Micro Top…☆44Updated last week
- ☆25Updated 2 years ago
- Tender: Accelerating Large Language Models via Tensor Decompostion and Runtime Requantization (ISCA'24)☆20Updated last year
- [HPCA24] Lightening-Transformer: A Dynamically-operated Optically-interconnected Photonic Transformer Accelerator☆33Updated 6 months ago
- Serpens is an HBM FPGA accelerator for SpMV☆19Updated last year
- LLM4HWDesign Starting Toolkit☆17Updated 10 months ago
- FPGA-based hardware acceleration for dropout-based Bayesian Neural Networks.☆25Updated last year