CCES Unicamp

Automatic Offloading of Cluster Accelerators

The sheer amount of computing resources required to run modern cloud workloads has put a lot of pressure on the design of power efficient cluster nodes. To address this problem, Intel (HARP) and Microsoft (Catapult) have proposed CPU-FPGA integrated architectures that can deliver efficient power performance executions. Unfortunately, the integration of FPGA acceleration modules to software is a challenging endeavour that does not have a seamless programming model. This paper proposes HardCloud (www.hardcloud.org), an extension of the OpenMP 4.X standard that eases the task of offloading FPGA modules to cluster accelerators.

Ceissler, Ciro, Ramon Nepomuceno, Marcio Pereira, and Guido Araujo. “Automatic Offloading of Cluster Accelerators.” In 2018 IEEE 26th Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM), pp. 224-224. IEEE, 2018.

 

Related posts

Graphene Supported MoS2 Structures with High Defect Density for an Efficient HER Electrocatalysts

cces cces

Como criar (e avaliar) um Plano de Gestão de Dados

cces cces

Fast BEM multi-domain approach for the elastostatic analysis of short fiber composites.

cces cces