Abstract—Work-stealing, as a common user-level task scheduler for managing and scheduling tasks of multithreaded applications, suffers from inefficiency in virtualized environments, because the steal attempts of thief threads may waste CPU cycles that could be otherwise used by busy threads. This paper contributes a novel scheduling framework named Robinhood. The basic idea of Robinhood is to use the time slices of thieves to accelerate busy threads with no available tasks (referred to as poor workers) at both the guest Operating System (OS) level and Virtual Machine Monitor (VMM) level. In this way, Robinhood can reduce the cost of steal attempts and accelerate the threads doing useful work, so as to put the CPU cycles to better use. We im...
This paper studies the problem of eciently scheduling fully strict (i.e., well-structured) multithre...
Virtual machines (VMs) are software systems that provide execution environments for applications. Be...
Multiple programming models are emerging to address an increased need for dynamic task parallelism i...
Abstract—Nowadays, work-stealing, as a common user-level task scheduler for managing and scheduling ...
) Robert D. Blumofe Dionisios Papadopoulos Department of Computer Sciences, The University of Texas...
Work-stealing is a promising approach for effectively exploiting software parallelism on parallel ha...
In this paper we propose new insights into the problem of concurrently scheduling threads through ma...
Task-centric programming models offer a versatile method for exposing parallelism. Such programs are...
Computers across all domains increasingly rely on multiple processors/cores, with processors startin...
The fork-join paradigm of concurrent expression has gained popularity in conjunction with work-steal...
We present an adaptive work-stealing thread scheduler, A-STEAL, for fork-join multithreaded jobs, li...
This paper addresses the problem of efficiently supporting parallelism within a managed runtime. A p...
Work-stealing systems are typically oblivious to the nature of the tasks they are scheduling. They d...
Load balancing is a technique which allows efficient parallelization of irregular workloads, and a k...
Work-stealing systems are typically oblivious to the nature of the tasks they are scheduling. They d...
This paper studies the problem of eciently scheduling fully strict (i.e., well-structured) multithre...
Virtual machines (VMs) are software systems that provide execution environments for applications. Be...
Multiple programming models are emerging to address an increased need for dynamic task parallelism i...
Abstract—Nowadays, work-stealing, as a common user-level task scheduler for managing and scheduling ...
) Robert D. Blumofe Dionisios Papadopoulos Department of Computer Sciences, The University of Texas...
Work-stealing is a promising approach for effectively exploiting software parallelism on parallel ha...
In this paper we propose new insights into the problem of concurrently scheduling threads through ma...
Task-centric programming models offer a versatile method for exposing parallelism. Such programs are...
Computers across all domains increasingly rely on multiple processors/cores, with processors startin...
The fork-join paradigm of concurrent expression has gained popularity in conjunction with work-steal...
We present an adaptive work-stealing thread scheduler, A-STEAL, for fork-join multithreaded jobs, li...
This paper addresses the problem of efficiently supporting parallelism within a managed runtime. A p...
Work-stealing systems are typically oblivious to the nature of the tasks they are scheduling. They d...
Load balancing is a technique which allows efficient parallelization of irregular workloads, and a k...
Work-stealing systems are typically oblivious to the nature of the tasks they are scheduling. They d...
This paper studies the problem of eciently scheduling fully strict (i.e., well-structured) multithre...
Virtual machines (VMs) are software systems that provide execution environments for applications. Be...
Multiple programming models are emerging to address an increased need for dynamic task parallelism i...