swsnu / bd2018
☆25Updated 5 years ago
Related projects ⓘ
Alternatives and complementary repositories for bd2018
- Welcome to PeriFlow CLI ☁︎☆12Updated last year
- ☆24Updated last year
- ☆15Updated 3 years ago
- ☆18Updated 6 years ago
- ☆100Updated last year
- Fast and Efficient Model Serving Using Multi-GPUs with Direct-Host-Access (ACM EuroSys '23)☆54Updated 7 months ago
- MIST: High-performance IoT Stream Processing☆17Updated 5 years ago
- "JABAS: Joint Adaptive Batching and Automatic Scaling for DNN Training on Heterogeneous GPUs" (EuroSys '25)☆12Updated last month
- ☆12Updated last month
- ☆40Updated 2 months ago
- Nemo: A flexible data processing system☆22Updated 6 years ago
- ☆23Updated last year
- A Tool for Automatic Parallelization of Deep Learning Training in Distributed Multi-GPU Environments.☆130Updated 2 years ago
- ☆51Updated 3 years ago
- FriendliAI Model Hub☆89Updated 2 years ago
- Cruise: A Distributed Machine Learning Framework with Automatic System Configuration☆26Updated 5 years ago
- Network Contention-Aware Cluster Scheduling with Reinforcement Learning (IEEE ICPADS 2023)☆15Updated last month
- LLMServingSim: A HW/SW Co-Simulation Infrastructure for LLM Inference Serving at Scale☆58Updated 3 weeks ago
- ☆22Updated 6 years ago
- SOTA Learning-augmented Systems☆33Updated 2 years ago
- Apache Nemo (Incubating) - Data Processing System for Flexible Employment With Different Deployment Characteristics☆113Updated last year
- LineFS: Efficient SmartNIC Offload of a Distributed File System with Pipeline Parallelism☆84Updated 2 years ago
- Exploring the Design Space of Page Management for Multi-Tiered Memory Systems (USENIX ATC '21)☆43Updated 2 years ago
- FastFlow is a system that automatically detects CPU bottlenecks in deep learning training pipelines and resolves the bottlenecks with dat…☆25Updated last year
- ☆22Updated 5 years ago
- Multi-Instance-GPU profiling tool☆53Updated last year
- A GPU-accelerated DNN inference serving system that supports instant kernel preemption and biased concurrent execution in GPU scheduling.☆39Updated 2 years ago
- ☆21Updated last year