ACC_TEST: Hybrid Testing Approach for OpenACC-Based Programs

نویسندگان
چکیده

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Exploring Programming Multi-GPUs using OpenMP & OpenACC-based Hybrid Model

Heterogeneous computing come with tremendous potential and is a leading candidate for scientific applications that are becoming more and more complex. Accelerators such as GPUs whose computing momentum is growing faster than ever offer application performance when compute intensive portions of an application are offloaded to them. It is quite evident that future computing architectures are movi...

متن کامل

Hybrid Programming Using OpenSHMEM and OpenACC

With high performance systems exploiting multicore and accelerator-based architectures on a distributed shared memory system, heterogenous hybrid programming models are the natural choice to exploit all the hardware made available on these systems. Previous efforts looking into hybrid models have primarily focused on using OpenMP directives (for shared memory programming) with MPI (for inter-no...

متن کامل

A Hybrid Approach for Tracing MPI Programs

A hybrid performance monitor is presented. The hardware and software components of the system are discussed. The design of the probes to support MPI is presented along with some example displays generated by the system. This system has been successfully used to monitor several MPI applications with minimal in-trusiveness.

متن کامل

A State-Based Approach to Testing Aspect-Oriented Programs

This paper presents a state-based approach to testing aspect-oriented programs. Aspectual state models, as an extension to the testable FREE state model of classes, are exploited to capture the impact of aspects on the state models of classes. To generate test suites for adequately testing object behavior and interaction between classes and aspects in terms of message sequences, we transform an...

متن کامل

Historic Learning Approach for Auto-tuning OpenACC Accelerated Scientific Applications

The performance optimization of scientific applications usually requires an in-depth knowledge of the hardware and software. A performance tuning mechanism is suggested to automatically tune OpenACC parameters to adapt to the execution environment on a given system. A historic learning based methodology is suggested to prune the parameter search space for a more efficient auto-tuning process. T...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: IEEE Access

سال: 2020

ISSN: 2169-3536

DOI: 10.1109/access.2020.2991009