The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
By taking the advantages of both CPU and GPU as well as the shared DRAM and cache, the integrated CPU-GPU architecture has the potential to boost the performance for a variety of applications, including real-time applications as well. However, before being applied to the hard real-time and safety-critical applications, the time-predictability of the integrated CPU-GPU architecture needs to be studied...
The capability of GPUs to accelerate general-purpose applications that can be parallelized into massive number of threads makes it promising to apply GPUs to real-time applications as well, where high throughput and intensive computation are also needed. However, due to the different architecture and programming model of GPUs, the worst-case execution time (WCET) analysis methods and techniques designed...
Heterogeneous Computing is a promising direction to address the challenges of performance and power walls in high-performance computing, where CPU-FPGA architectures are particularly promising for application acceleration. However, the development of such architectures associated with optimal memory hierarchies is challenging due to the absence of an integrated simulator to support full system simulation...
Heterogeneous computing is rapidly gaining increased attention due to the promise it holds in overcoming power and performance walls in traditional computing systems. With its focus on customized processing nodes dedicated to the different tasks in an application, it is hoped that these walls will be overcome. Therefore, CPU-FPGA co-architectures are also gaining ground in application areas like recognition,...
Recent Graphics Processing Units (GPUs) have employed cache memories to boost performance. However, cache memories are well known to be harmful to time predictability for CPUs. For high-performance real-time systems using GPUs, it remains unknown whether or not cache memories should be employed. In this paper, we quantitatively compare the performance for GPUs with and without caches, and find that...
Graphics Processing Units (GPUs) have become a popular choice for general-purpose high-performance computing. Encryption and decryption algorithms such as the Advanced Encryption Standard (AES) have been implemented on GPUs to gain significant speedup. However, the security of the GPU architecture is not well studied, making it potentially risky to offload sensitive computation to GPUs. In this paper,...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.