boringlee24 / socc22-miso
MISO: Exploiting Multi-Instance GPU Capability on Multi-Tenant GPU Clusters
☆18Updated 2 years ago
Alternatives and similar repositories for socc22-miso
Users that are interested in socc22-miso are comparing it to the libraries listed below
Sorting:
- ☆37Updated 3 years ago
- ☆48Updated 4 months ago
- TACCL: Guiding Collective Algorithm Synthesis using Communication Sketches☆73Updated last year
- REEF is a GPU-accelerated DNN inference serving system that enables instant kernel preemption and biased concurrent execution in GPU sche…☆94Updated 2 years ago
- ☆49Updated 2 years ago
- ☆23Updated 2 years ago
- Bamboo is a system for running large pipeline-parallel DNNs affordably, reliably, and efficiently using spot instances.☆50Updated 2 years ago
- An interference-aware scheduler for fine-grained GPU sharing☆133Updated 3 months ago
- Artifacts for our SIGCOMM'22 paper Muri☆41Updated last year
- Repository for MLCommons Chakra schema and tools☆39Updated last year
- Artifacts for our ASPLOS'23 paper ElasticFlow☆51Updated last year
- Repository for MLCommons Chakra schema and tools☆96Updated 2 months ago
- ☆36Updated last year
- Artifacts for our NSDI'23 paper TGS☆75Updated 11 months ago
- ☆26Updated 4 years ago
- ☆22Updated last year
- A GPU-accelerated DNN inference serving system that supports instant kernel preemption and biased concurrent execution in GPU scheduling.☆42Updated 2 years ago
- The source code of INFless，a native serverless platform for AI inference.☆38Updated 2 years ago
- A benchmarking suite for heterogeneous systems. The primary goal of this project is to improve and update aspects of existing benchmarkin…☆42Updated last year
- Helios Traces from SenseTime☆54Updated 2 years ago
- ☆23Updated 10 months ago
- Lucid: A Non-Intrusive, Scalable and Interpretable Scheduler for Deep Learning Training Jobs☆53Updated last year
- ☆53Updated 4 years ago
- Deduplication over dis-aggregated memory for Serverless Computing☆12Updated 3 years ago
- Proteus: A High-Throughput Inference-Serving System with Accuracy Scaling☆12Updated last year
- The source code of the paper"Laius: Towards Latency Awareness and Improved Utilization of Spatial Multitasking Accelerators in Datacenter…☆8Updated 3 years ago
- [ACM EuroSys '23] Fast and Efficient Model Serving Using Multi-GPUs with Direct-Host-Access☆56Updated last year
- Paella: Low-latency Model Serving with Virtualized GPU Scheduling☆58Updated last year
- ☆33Updated 11 months ago
- ☆12Updated 3 weeks ago