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Work stealing
8A. Going Parallel
Correct and Efficient Work-Stealing for Weak Memory Models
An Efficient Work-Stealing Scheduler for Task Dependency Graph
Intel Threading Building Blocks
Lecture 15-16: Parallel Programming with Cilk
Intel Threading Building Blocks (Mike Voss)
Work Stealing for Interactive Services to Meet Target Latency ∗
Threading Building Blocks and Openmp Implementation Issues
Scheduling Parallel Programs by Work Stealing with Private Deques
Asymmetry-Aware Work-Stealing Runtimes
Randomized Work Stealing for Large Scale Soft Real-Time Systems
Parallelization in Rust with Fork-Join and Friends Creating the Forkjoin Framework
Work-Stealing Without the Baggage ∗
Nowa: a Wait-Free Continuation-Stealing Concurrency Platform
Efficient Workstealing for Multicore Event-Driven Systems
Parallel Computing Stanford CS149, Fall 2020 Lecture 5
Work Stealing Scheduler for Automatic Parallelization in Faust Stéphane Letz, Yann Orlarey, Dominique Fober
Rust As a Language for High Performance GC Implementation
Top View
Work-Stealing Without the Baggage ∗
Parallel and Reactive Programming Programmation Parallèle Et Réactive
The Data Locality of Work Stealing
Latency-Hiding Work Stealing
Compiler Support for Work-Stealing Parallel Runtime Systems
Intel Threading Building Blocks (TBB)
Energy-Efficient Work-Stealing Language Runtimes
Work-Stealing, Locality-Aware Actor Scheduling
CS 610: Intel Threading Building Blocks Swarnendu Biswas
The Implementation of the Cilk-5 Multithreaded Language
Arxiv:1806.11128V4 [Cs.DC] 7 Jan 2019 a NUMA-Aware Provably-Efficient Task-Parallel Platform Based on the Work-First Principle
Steal Tree: Low-Overhead Tracing of Work Stealing Schedulers
Work-Stealing
Introduction to Supercomputing Jan Verschelde, 12 February 2021
Provably Space-Efficient Parallel Functional Programming
Pipelined Parallelism in a Work-Stealing Scheduler
Embracing Explicit Communication in Work-Stealing Runtime Systems
Scaling Monte Carlo Tree Search on Intel Xeon
Work Stealing for GPU-Accelerated Parallel Programs in a Global Address Space Framework
Practically Efficient Scheduler for Minimizing Average Flow Time Of
Performance Vs Programming Effort Between Rust and C on Multicore
Executing Task Graphs Using Work Stealing
A Scalable Locality-Aware Adaptive Work-Stealing Scheduler for Multi-Core Task Parallelism by Yi Guo
Scheduling Parallel Program with Work Stealing
Brushing the Locks out of the Fur: a Lock-Free Work Stealing Library Based on Wool
Rust for Frameworks What Is Rust?
A Work Stealing Scheduler for Parallel Loops on Shared Cache Multicores
Limits of Work-Stealing Scheduling
Scheduling Multithreaded Computations by Work Stealing
The Data Locality of Work Stealing
Kvik: a Task Based Middleware with Composable Scheduling Policies
BWS: Balanced Work Stealing for Time-Sharing Multicores
Locality-Aware Work-Stealing for Multi-Socket Multi-Core Architectures
Proactive Work Stealing for Futures
A Primer on Scheduling Fork-Join Parallelism with Work Stealing