CGCL-codes / ArgusLinks
Argus is a novel RDMA-assisted job scheduler which achieves high resource utilization by fully exploiting the structure feature of stage dependency. Comprehensive experiments using large-scale traces collected from real world show that Argus reduces job completion time and job makespan by 21% and 20%, respectively, compared to RDMA-Spark.
☆10Updated 4 years ago
Alternatives and similar repositories for Argus
Users that are interested in Argus are comparing it to the libraries listed below
Sorting:
- RGraph is an RDMA-assisted asynchronous distributed graph processing system. RGraph distributes edges into two parts to isolate master an…☆14Updated 4 years ago
- ☆30Updated last year
- An Optimizing Compiler for Recommendation Model Inference☆25Updated 2 months ago
- A platform to evaluate techniques used in multicore graph processing.☆37Updated 6 years ago
- ☆22Updated last year
- ☆14Updated 4 years ago
- An efficient storage system for concurrent graph processing☆10Updated 4 years ago
- Pensieve is a skewness-aware multi-version graph processing system that exploits the time locality of graph version access and leverages …☆21Updated 3 years ago
- A pattern-based algorithmic autotuner for graph processing on GPUs.☆31Updated last month
- ☆19Updated 5 years ago
- Accelerating Deep Learning Training Through Transparent Storage Tiering (CCGrid'22)☆18Updated 2 years ago
- FlashMob is a shared-memory random walk system.☆32Updated 2 years ago
- ☆11Updated last year
- Graph Sampling using GPU☆52Updated 3 years ago
- SHADE: Enable Fundamental Cacheability for Distributed Deep Learning Training☆35Updated 2 years ago
- GPU-accelerated vector query processing system that supports large vector datasets beyond GPU memory.☆30Updated last year
- Dorylus: Affordable, Scalable, and Accurate GNN Training☆76Updated 4 years ago
- ☆24Updated last year
- PetPS: Supporting Huge Embedding Models with Tiered Memory☆32Updated last year
- A scalable distributed stream join system☆14Updated 2 years ago
- ☆40Updated 3 years ago
- A framework for pipelined computing on GPU☆29Updated 6 years ago
- ☆10Updated last year
- ☆36Updated last year
- A Skew-Resistant Index for Processing-in-Memory☆25Updated 10 months ago
- SoCC'20 and TPDS'21: Scaling GNN Training on Large Graphs via Computation-aware Caching and Partitioning.☆50Updated 2 years ago
- ☆31Updated 4 years ago
- GPU TopK Benchmark☆15Updated 7 months ago
- ☆36Updated 2 months ago
- RisGraph: A Real-Time Streaming System for Evolving Graphs to Support Sub-millisecond Per-update Analysis at Millions Ops/s☆35Updated 3 years ago