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.
Integrated GPU systems are a cost-effective and energy-efficient option for accelerating data-intensive applications. While these platforms have reduced overhead of offloading computation to the GPU and potential for fine-grained resource scheduling, there remain several open challenges: (1) the distinct execution models inherent in the heterogeneous devices present on such platforms drives the need...
Energy efficiency is now a top design goal for all computing systems, from fitness trackers and tablets, where it affects battery life, to cloud computing centers, where it directly impacts operational cost, maintainability, and environmental impact. Today's widespread integrated CPU-GPU processors combine a CPU and a GPU compute device with different powerperformance characteristics. For these integrated...
Many new cloud-focused applications such as deeplearning and graph analytics have started to rely on the highcomputing throughput of GPUs, but cloud providers cannotcurrently support fine-grained time-sharing on GPUs to enablemulti-tenancy for these types of applications. Currently, schedulingis performed by the GPU driver in combination with ahardware thread dispatcher to maximize utilization. However,...
Moving toward exascale, the number of GPUs in HPC machines is bound to increase, and applications will spend increasing amounts of time running on those GPU devices. While GPU usage has already led to substantial speedup for HPC codes, their failure rates due to overheating are at least 10 times higher than those seen for the CPUs now commonly used on HPC machines. This makes it increasingly important...
As parallel execution platforms continue to proliferate, there is a growing need for real-time introspection tools to provide insight into platform behavior for performance debugging, correctness checks, and to drive effective resource management schemes. To address this need, we present the Lynx dynamic instrumentation system. Lynx provides the capability to write instrumentation routines that are...
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.