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.
High-end FPGAs are widely adopted as hardware accelerators, due to their power efficiency, flexibility, and high-performance computing ability. They are, therefore, extremely useful devices for a project with challenges and constraints such as the Square Kilometre Array (SKA). However, the traditional design methods require expert hardware knowledge and long development times for each of the SKA's...
GPUs can enable significant performance improvements for certain classes of data parallel applications and are widely used in recent computer systems. However, GPU execution currently requires explicit low-level operations such as 1) managing memory allocations and transfers between the host system and the GPU, 2) writing GPU kernels in a low-level programming model such as CUDA or OpenCL, and 3)...
We present CrowdCL, an open-source framework for the rapid development of volunteer computing and OpenCL applications on the web. Drawing inspiration from existing GPU libraries like PyCUDA, CrowdCL provides an abstraction layer for WebCL aimed at reducing boilerplate and improving code readability. CrowdCL also provides developers with a framework to easily run computations in the background of a...
Resource Description Framework (RDF) is commonly used for the semantic web query. During this decade, due to big data processing, the large numbers of RDF triples are crawled. The triples usually stored distributed on the clouds storage or the large clusters. To search for the query answer, it is usually difficult to handle the search across platforms. Also, the search takes a long executed time....
When converting a serial program to a parallel program that can run on a Graphics Processing Unit (GPU) the developer must choose what functions will run on the GPU. For each function the developer chooses, he or she needs to manually write code to: 1) serialize state to GPU memory, 2) define the kernel code that the GPU will execute, 3) control the kernel launch and 4) deserialize state back to CPU...
Multicore systems increase the complexity of performance analysis by introducing a new source of additional costs: thread migration between cores. This paper explores the cost of thread migration for Java applications. We first present a detailed analysis of the sources of migration overhead and show that they result from a combination of several factors including application behavior (working set...
Java is a valuable and emerging alternative for the development of parallel applications, thanks to the availability of several Java message-passing libraries and its full multithreading support. The combination of both shared and distributed memory programming is an interesting option for parallel programming multi-core systems. However, the concerns about Java performance are hindering its adoption...
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.