Raphael-Hao / AbacusView external linksLinks
☆38Jun 27, 2025Updated 7 months ago
Alternatives and similar repositories for Abacus
Users that are interested in Abacus are comparing it to the libraries listed below
Sorting:
- ☆21May 13, 2022Updated 3 years ago
- PilotFish harvests the free GPU cycles of cloud gaming with deep learning training☆14Jul 2, 2022Updated 3 years ago
- PipeSwitch: Fast Pipelined Context Switching for Deep Learning Applications☆127May 9, 2022Updated 3 years ago
- Fine-grained GPU sharing primitives☆148Jul 28, 2025Updated 6 months ago
- ☆52Dec 13, 2022Updated 3 years ago
- Surrogate-based Hyperparameter Tuning System☆28Jun 29, 2023Updated 2 years ago
- A source-to-source compiler for optimizing CUDA dynamic parallelism by aggregating launches☆15Jun 21, 2019Updated 6 years ago
- ☆84Feb 5, 2026Updated last week
- Horizontal Fusion☆24Jan 7, 2022Updated 4 years ago
- Lucid: A Non-Intrusive, Scalable and Interpretable Scheduler for Deep Learning Training Jobs☆58May 21, 2023Updated 2 years ago
- ☆17May 10, 2024Updated last year
- DISB is a new DNN inference serving benchmark with diverse workloads and models, as well as real-world traces.☆58Aug 21, 2024Updated last year
- iGniter, an interference-aware GPU resource provisioning framework for achieving predictable performance of DNN inference in the cloud.☆39Jun 11, 2024Updated last year
- Proteus: A High-Throughput Inference-Serving System with Accuracy Scaling☆12Mar 7, 2024Updated last year
- REEF is a GPU-accelerated DNN inference serving system that enables instant kernel preemption and biased concurrent execution in GPU sche…☆104Dec 24, 2022Updated 3 years ago
- Artifacts for our ASPLOS'23 paper ElasticFlow☆55May 10, 2024Updated last year
- Primo: Practical Learning-Augmented Systems with Interpretable Models☆19Dec 26, 2023Updated 2 years ago
- Boost hardware utilization for ML training workloads via Inter-model Horizontal Fusion☆32May 15, 2024Updated last year
- Model-less Inference Serving☆94Nov 4, 2023Updated 2 years ago
- Understanding Differencing Algorithms for Mobile Application Updates☆14Nov 15, 2023Updated 2 years ago
- [MLSys 2021] IOS: Inter-Operator Scheduler for CNN Acceleration☆199Apr 27, 2022Updated 3 years ago
- libsmctrl论文的复现,添加了python端接口,可以在python端灵活调用接口来分配计算资源☆12May 21, 2024Updated last year
- Cavs: An Efficient Runtime System for Dynamic Neural Networks☆15Sep 18, 2020Updated 5 years ago
- ☆26Aug 19, 2022Updated 3 years ago
- Inference framework for MoE layers based on TensorRT with Python binding☆41May 31, 2021Updated 4 years ago
- Compiler for Dynamic Neural Networks☆45Nov 13, 2023Updated 2 years ago
- ☆28Aug 14, 2024Updated last year
- Evaluating different memory managers for dynamic GPU memory☆26Dec 16, 2020Updated 5 years ago
- A Factored System for Sample-based GNN Training over GPUs☆46Jul 26, 2023Updated 2 years ago
- Source code of IPA, https://escholarship.org/uc/item/2p0805dq☆12Jun 27, 2024Updated last year
- Studying GPU Multi-tenancy☆11Jan 11, 2019Updated 7 years ago
- ☆164Jul 22, 2024Updated last year
- Resource-adaptive cluster scheduler for deep learning training.☆452Mar 5, 2023Updated 2 years ago
- ☆79Mar 7, 2022Updated 3 years ago
- Scalable GPU Kernel Fission/Fusion Transformation for Memory-Bound Kernels☆14Aug 26, 2015Updated 10 years ago
- Implementation of a Deep Reinforcement Learning agent that is capable to share the last-level-cache of a multi-core system, between a Lat…☆10Nov 10, 2021Updated 4 years ago
- ☆15Apr 18, 2023Updated 2 years ago
- ☆53Dec 26, 2024Updated last year
- ☆12Feb 16, 2023Updated 2 years ago