Differentiated Computation and Partitioning on Skewed (Natural or Bipartite) Graphs
☆67Mar 30, 2022Updated 3 years ago
Alternatives and similar repositories for powerlyra
Users that are interested in powerlyra are comparing it to the libraries listed below
Sorting:
- PowerGraph: A framework for large-scale machine learning and graph computation.☆363Mar 30, 2022Updated 3 years ago
- A software package for one-pass Vertex-cut balanced Graph Partitioning.☆32Aug 2, 2015Updated 10 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 4 years ago
- Chaos: Scale-out Graph Processing from Secondary Storage☆51Mar 14, 2016Updated 9 years ago
- A NUMA-aware Graph-structured Analytics Framework☆44Aug 28, 2018Updated 7 years ago
- Implementation of the HYPE hypergraph partitioner.☆22Dec 5, 2019Updated 6 years ago
- Source code for VLDB 2015 paper "The More the Merrier: Efficient Multi-Source Graph Traversal"☆26Sep 22, 2015Updated 10 years ago
- Out-of-core graph processing on a single machine.☆130May 7, 2018Updated 7 years ago
- Graph edge partitioning algorithms☆47Oct 17, 2019Updated 6 years ago
- Experimental Setup for Performance Analysis of Streaming Algorithms☆32Dec 10, 2021Updated 4 years ago
- A computation-centric distributed graph processing system.☆330Aug 15, 2021Updated 4 years ago
- A Distributed Multi-GPU System for Fast Graph Processing☆65Oct 25, 2018Updated 7 years ago
- Trillion-edge Scale Graph Edge Partitioning☆30Oct 23, 2019Updated 6 years ago
- ☆19Sep 17, 2021Updated 4 years ago
- A scalable distributed graph partitioner. Ongoing research.☆15Apr 23, 2017Updated 8 years ago
- A graph-based distributed in-memory store that leverages efficient graph exploration to provide highly concurrent and low-latency queries…☆192Jan 4, 2026Updated 2 months ago
- A distributed stream querying engine that provides sub-millisecond stateful query at millions of queries per-second over fast-evolving li…☆10Jul 18, 2018Updated 7 years ago
- Graphene: Fine-Grained IO Management for Graph Computing. FAST'17☆20Apr 12, 2017Updated 8 years ago
- G3: A Programmable GNN Training System on GPU☆43Aug 29, 2020Updated 5 years ago
- High-performance graph processing on hybrid CPU-GPU platforms by using dynamic load-balancing☆12Sep 15, 2016Updated 9 years ago
- ☆14Dec 14, 2014Updated 11 years ago
- REplicated STORagE☆13Mar 23, 2023Updated 2 years ago
- Asynchronous Multi-GPU Programming Framework☆48Jun 8, 2021Updated 4 years ago
- Parallel space-efficient minimal perfect hash function on SIMD and GPU☆15Jan 4, 2026Updated 2 months ago
- CuSha is a CUDA-based vertex-centric graph processing framework that uses G-Shards and CW representations.☆53Nov 17, 2015Updated 10 years ago
- Singular Binarized Neural Network based on GPU Bit Operations (see our SC-19 paper)☆17Dec 9, 2020Updated 5 years ago
- More Hierarchy in Route Planning Using Edge Hierarchies☆14Mar 4, 2020Updated 6 years ago
- Software and Hardware Characterization of Streaming Graph Analytics Workloads☆14Aug 15, 2022Updated 3 years ago
- LDBC Semantic Publishing Benchmark v2.0☆14Jan 3, 2025Updated last year
- Ths is a fast RDMA abstraction layer that works both in the kernel and user-space.☆59Nov 12, 2024Updated last year
- Scalable Graph Mining☆63Nov 13, 2022Updated 3 years ago
- Packed and Compressed Hash Tables☆15Apr 7, 2025Updated 11 months ago
- PVLDB LaTeX style, based on acmart☆14Apr 29, 2021Updated 4 years ago
- ☆15Dec 1, 2017Updated 8 years ago
- Code for the paper titled "Optimizing Subgraph Queries by Combining Binary and Worst-Case Optimal Joins". VLDB'19☆33Apr 25, 2025Updated 10 months ago
- "GraphOne: A Data Store for Real-time Analytics on Evolving Graphs", Usenix FAST'19☆60Jan 5, 2021Updated 5 years ago
- GraphChi's C++ version. Big Data - small machine.☆810Jan 2, 2019Updated 7 years ago
- Automatically exported from code.google.com/p/maiter☆14Jan 22, 2021Updated 5 years ago
- ☆17Jan 10, 2022Updated 4 years ago