A Hash Map for Graph Processing Workloads & a Methodology for Transactional Data Structures - CppCon
A Study of APIs for Graph Analytics Workloads
Implementing Hash Maps with Hash Tables
Mapping Your Stack By Adrian Cockroft
Nvidia CUDA in 100 Seconds
SAGA-Bench: Software and Hardware Characterization of Streaming Graph Analytics Workloads
[SPCL_Bcast] Large Graph Processing on Heterogeneous Architectures: Systems, Applications and Beyond
Better GPU Hash Tables
Top 6 Load Balancing Algorithms Every Developer Should Know
Crust of Rust: std::collections
Onur Mutlu @ Onur Mutlu @ TU Wien 2019 - Memory Systems - Lecture 4a: Processing-in-Memory II
Scale Up with Lock Free Algorithms
Computer Architecture - Lecture 7: Emerging Memory Technologies (ETH Zürich, Fall 2017)
Data Pipelines à La Mode • Tommy Hall • YOW! 2019
Berlin Buzzwords 2013: Nitay Joffe - Facebook Scale Graph Processing using Giraph #bbuzz
Memory Systems - Lecture 3.2: Processing-in-Memory (Technion, Summer 2018)
Why do we split data into train test and validation sets?
Random Walks on Large Scale Graphs with Apache Spark - Min Shen
AWS re:Invent 2021 - Strategic IT planning and evaluation
Per Fuchs | Sortledton: a Universal, Transactional Graph Data Structure | #13