this is the release repository of superneurons
☆54Feb 13, 2021Updated 5 years ago
Alternatives and similar repositories for superneurons-release
Users that are interested in superneurons-release are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆22Nov 7, 2018Updated 7 years ago
- Implementation of vDNN++; an improvement over vDNN☆18Dec 7, 2018Updated 7 years ago
- ☆13Jan 23, 2021Updated 5 years ago
- Fine-grained GPU sharing primitives☆149Jul 28, 2025Updated last year
- ☆47Dec 16, 2022Updated 3 years ago
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- Dynamic Tensor Rematerialization prototype (modified PyTorch) and simulator. Paper: https://arxiv.org/abs/2006.09616☆133Jul 6, 2023Updated 3 years ago
- GPU-scheduler-for-deep-learning☆213Nov 5, 2020Updated 5 years ago
- PipeSwitch: Fast Pipelined Context Switching for Deep Learning Applications☆127May 9, 2022Updated 4 years ago
- ☆13Jun 20, 2019Updated 7 years ago
- ☆23Jan 7, 2022Updated 4 years ago
- ☆41Nov 28, 2022Updated 3 years ago
- ☆20Aug 26, 2021Updated 4 years ago
- A library for syntactically rewriting Python programs, pronounced (sinner).☆66Feb 22, 2022Updated 4 years ago
- ☆50Jun 27, 2019Updated 7 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Cavs: An Efficient Runtime System for Dynamic Neural Networks☆15Sep 18, 2020Updated 5 years ago
- ☆12May 3, 2020Updated 6 years ago
- Matrix Multiply-Accumulate with CUDA and WMMA( Tensor Core)☆147Aug 18, 2020Updated 5 years ago
- A simple memory manager for CUDA designed to help Deep Learning frameworks manage memory☆298Nov 28, 2018Updated 7 years ago
- Graphiler is a compiler stack built on top of DGL and TorchScript which compiles GNNs defined using user-defined functions (UDFs) into ef…☆59Oct 3, 2022Updated 3 years ago
- Frog is Asynchronous Graph Processing on GPU with Hybrid Coloring Model. The fundamental idea is based on Pareto principle (or 80-20 rule…☆36May 29, 2021Updated 5 years ago
- ☆29Aug 14, 2024Updated last year
- RackSched: A Microsecond-Scale Scheduler for Rack-Scale Computers☆24Oct 5, 2020Updated 5 years ago
- A host-based framework that transparently extends the GPU addressable global memory space beyond the host memory using NVM-backed data po…☆63Sep 11, 2020Updated 5 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Fast and Adaptive Distributed Machine Learning for TensorFlow, PyTorch and MindSpore.☆295Feb 23, 2024Updated 2 years ago
- Artifact of OSDI '24 paper, ”Llumnix: Dynamic Scheduling for Large Language Model Serving“☆64Jun 5, 2024Updated 2 years ago
- Thinking is hard - automate it☆18Aug 24, 2022Updated 3 years ago
- Automatic Schedule Exploration and Optimization Framework for Tensor Computations☆184Apr 25, 2022Updated 4 years ago
- ☆31May 31, 2023Updated 3 years ago
- Enterprise: Breadth-First Graph Traversal on GPUs. SC'15.☆33May 20, 2017Updated 9 years ago
- ☆198Aug 31, 2019Updated 6 years ago
- A source-to-source compiler for optimizing CUDA dynamic parallelism by aggregating launches☆15Jun 21, 2019Updated 7 years ago
- GPU-specialized parameter server for GPU machine learning.☆102Apr 5, 2018Updated 8 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- a heterogeneous multiGPU level-3 BLAS library☆46Dec 9, 2019Updated 6 years ago
- A library of GPU kernels for sparse matrix operations.☆289Nov 24, 2020Updated 5 years ago
- ☆27Aug 19, 2022Updated 3 years ago
- ☆394Nov 4, 2022Updated 3 years ago
- The official SALIENT system described in the paper "Accelerating Training and Inference of Graph Neural Networks with Fast Sampling and P…☆40Jun 28, 2023Updated 3 years ago
- ☆16May 4, 2021Updated 5 years ago
- A simple and reproducible, profile-driven file system aging suite.☆27Jul 12, 2018Updated 8 years ago