Paper Info
Title
The Minos Computing Library: Efficient Parallel Programming For Extremely Heterogeneous Systems
Abstract
Hardware specialization has become the silver bullet to achieve efficient high performance, from Systems-on-Chip systems, where hardware specialization can be "extreme", to large-scale HPC systems. As the complexity of the systems increases, so does the complexity of programming such architectures in a portable way.This work introduces the Minos Computing Library (MCL), as system software, programming model, and programming model runtime that facilitate programming extremely heterogeneous systems. MCL supports the execution of several multi-threaded applications within the same compute node, performs asynchronous execution of application tasks, efficiently balances computation across hardware resources, and provides performance portability.We show that code developed on a personal desktop automatically scales up to fully utilize powerful workstations with 8 GPUs and down to power-efficient embedded systems. MCL provides up to 17.5x speedup over OpenCL on NVIDIA DGX-1 systems and up to 1.88x speedup on single-GPU systems. In multi-application workloads, MCL's dynamic resource allocation provides up to 2.43x performance improvement over manual, static resources allocation.
Year
DOI
Venue
2020
10.1145/3366428.3380770
GPGPU'20: PROCEEDINGS OF THE 13TH ANNUAL WORKSHOP ON GENERAL PURPOSE PROCESSING USING GRAPHICS PROCESSING UNIT (GPU)
Keywords
Field
DocType
Heterogeneous systems, system software, task-based runtime, GPU, asynchronous runtime
Computer science,Parallel computing,MINOS
Conference
Citations 
PageRank 
References 
1
0.36
14
Authors
6
Name
Order
Citations
PageRank
Gioiosa, Roberto145931.78
Burcu Ozcelik Mutlu241.88
Seyong Lee368949.44
Jeffrey Vetter448129.54
Giulio Picierro541.15
Marco Cesati618512.53