Abstract

Abstract
The main goal of the ANTAREX project is to express by a Domain Specific Language (DSL) the application self-adaptivity and to runtime manage and autotune applications for green and heterogeneous High Performance Computing (HPC) systems up to the Exascale level. Key innovations of the project include the introduction of a separation of concerns between self-adaptivity strategies and application functionalities. The DSL approach will allow the definition of energy-efficiency, performance, and adaptivity strategies as well as their enforcement at runtime through application autotuning and resource and power management.

Abstract

Abstract
Field-Programmable Gate Arrays (FPGAs) are able to provide hardware accelerators still maintaining the required programmability. However, the advantages of using FPGAs still depend on the expertise of developers and their knowledge of Hardware Description Languages (HDLs). Although High-level Synthesis (HLS) tools have been developed in order to minimize this problem, they commonly present solutions considered many times inefficient when compared to the ones achieved by a specialized hardware designer. Domain-specific languages (DSLs) can provide alternative solutions to program FPGAs. They can provide higher abstraction levels than HDLs and they may allow the programmer to tune implementations whenever HLS tools are unable to generate efficient designs. In this paper we compare a DSL, named LALP (Language for Aggressive Loop Pipelining), with two typical HLS approaches and show the experimental results achieved in each case. The results show that the use of LALP provides superior performance than the achieved by the HLS tools in most cases.

Abstract

Abstract