Simple memory machine models for GPUs

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

Exploiting GPUs in Virtual Machine for BioCloud

Recently, biological applications start to be reimplemented into the applications which exploit many cores of GPUs for better computation performance. Therefore, by providing virtualized GPUs to VMs in cloud computing environment, many biological applications will willingly move into cloud environment to enhance their computation performance and utilize infinite cloud computing resource while r...

متن کامل

Using GPUs in Machine Learning

Machine learning algorithms have been known to perform better with more free parameters to tune and more training data. But learning algorithms are often too slow for large scale applications and thus the size of training models (free parameters) and data is limited in practice. So usage of GPUs to improve the speeds of these algorithms has attracted a lot of attention recently. I focused on a ...

متن کامل

Register Efficient Dynamic Memory Allocator for GPUs

We compare five existing dynamic memory allocators optimized for GPUs and show their strengths and weaknesses. In the measurements we use three generic evaluation tests proposed in the past and we add one with a real workload, where dynamic memory allocation is used in building the k-d tree data structure. Following the performance analysis we propose a new dynamic memory allocator and its vari...

متن کامل

Register Efficient Memory Allocator for GPUs

We compare four existing dynamic memory allocators optimized for GPUs and show their strengths and weaknesses. In the measurements we use three generic evaluation tests proposed in the literature and add one with a real workload where dynamic memory allocation is used for building the kd-tree data structure. Following the performance analysis we propose a new dynamic memory allocator and its va...

متن کامل

Machine Learning Models for Housing Prices Forecasting using Registration Data

This article has been compiled to identify the best model of housing price forecasting using machine learning methods with maximum accuracy and minimum error. Five important machine learning algorithms are used to predict housing prices, including Nearest Neighbor Regression Algorithm (KNNR), Support Vector Regression Algorithm (SVR), Random Forest Regression Algorithm (RFR), Extreme Gradient B...

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: International Journal of Parallel, Emergent and Distributed Systems

سال: 2012

ISSN: 1744-5760,1744-5779

DOI: 10.1080/17445760.2012.731507