Name: Pradeep Kumar
Type: User
Company: William & Mary
Bio: Assistant Professor in William & Mary. Looking for Ph.D. Students. Works in systems aspects of Deep Learning with a focus on Sparsity.
Location: Williamsburg, VA
Blog: https://pradeep-k.github.io/
Pradeep Kumar's Projects
Useful C code for networking, data structures, and more
Aspen is a Low-Latency Graph Streaming System built using Compressed Purely-Functional Trees
Functional GraphQL library for Scala
Sample code used in lecture of GW CSci 6421 Distributed Systems
The source code for the Usenix ATC'17 Paper, "Falcon: Scaling IO Performance in Multi-SSD Volumes"
A SSD-based graph processing engine for billion-node graphs
Get statistics on web traffic to your GitHub repositories.
GraphBolt: Dependency-Driven Synchronous Processing of Streaming Graphs
A Data Store for heterogeneous graph data
"GraphOne: A Data Store for Real-time Analytics on Evolving Graphs", Usenix FAST'19
Semi-external graph engine for trillion-edge graphs
key value store for week 13
Production-Grade Container Scheduling and Management
Lab 1
Artifact for OSDI'21 GNNAdvisor
Code from various chapters in OSTEP (http://www.ostep.org)
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
A graph database as a Redis module
Apache Spark - A unified analytics engine for large-scale data processing
Implementation of sparse matrix-vector multiplication in CUDA for GPU
The STINGER in-memory graph store and dynamic graph analysis platform. Millions to billions of vertices and edges at thousands to millions of updates per second.
All codes related to system programming.