Scheduler activations: effective kernel support for the user-level management of parallelism
ACM Transactions on Computer Systems (TOCS)
Efficient scheduling on multiprogrammed shared-memory multiprocessors
Efficient scheduling on multiprogrammed shared-memory multiprocessors
An Effective Processor Allocation Strategy for Multiprogrammed Shared-Memory Multiprocessors
IEEE Transactions on Parallel and Distributed Systems
A Scalable Multi-Discipline, Multiple-Processor Scheduling Framework for IRIX
IPPS '95 Proceedings of the Workshop on Job Scheduling Strategies for Parallel Processing
Application-Assisted Dynamic Scheduling on Large-Scal Multi-Computer Systems
Euro-Par '96 Proceedings of the Second International Euro-Par Conference on Parallel Processing-Volume II
Compile/run-time support for threaded MPI execution on multiprogrammed shared memory machines
Proceedings of the seventh ACM SIGPLAN symposium on Principles and practice of parallel programming
Adaptive two-level thread management for fast MPI execution on shared memory machines
SC '99 Proceedings of the 1999 ACM/IEEE conference on Supercomputing
Program transformation and runtime support for threaded MPI execution on shared-memory machines
ACM Transactions on Programming Languages and Systems (TOPLAS)
A Comprehensive Dynamic Processor Allocation Scheme for Multiprogrammed Multiprocessor Systems
ICPP '00 Proceedings of the Proceedings of the 2000 International Conference on Parallel Processing
Using application information to drive adaptive grid middleware scheduling decisions
Proceedings of the 2nd workshop on Middleware-application interaction: affiliated with the DisCoTec federated conferences 2008
A case for integrated processor-cache partitioning in chip multiprocessors
Proceedings of the Conference on High Performance Computing Networking, Storage and Analysis
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The Loop-Level Process Control (LLPC) policy [9] dynamically adjusts the number of threads an application is allowed to execute based on the application's available parallelism and the overall system load. This study demonstrates the feasibility of incorporating the LLPC strategy into an existing commercial operating system and parallelizing compiler and provides further evidence of the performance improvement that is possible using this dynamic allocation strategy. In this implementation, applications are automatically parallelized and enhanced with the appropriate LLPC hooks so that each application interacts with the modified version of the Solaris operating system. The parallelism of the applications is then dynamically adjusted automatically when they are executed in a multiprogrammed environment so that all applications obtain a fair share of the total processing resources.