Nested paging is a hardware solution for alleviating the software memory management overhead imposed by system virtualization. Nested paging complements existing page walk hardware to form a two-dimensional (2D) page walk, which reduces the need for hypervisor intervention in guest page table management. However, the extra dimension also increases the maximum number of architecturally-required page table references.This paper presents an in-depth examination of the 2D page table walk overhead and options for decreasing it. These options include using the AMD Opteron TM processor's page walk cache to exploit the strong reuse of page entry references. For a mix of server and SPEC R benchmarks, the presented results show a 15%-38% improvement in guest performance by extending the existing page walk cache to also store the nested dimension of the 2D page walk. Caching nested page table translations and skipping multiple page entry references produce an additional 3%-7% improvement.Much of the remaining 2D page walk overhead is due to lowlocality nested page entry references, which result in additional memory hierarchy misses. By using large pages, the hypervisor can eliminate many of these long-latency accesses and further improve the guest performance by 3%-22%.

The quantitative and qualitative estimation of total body fl uid content has proven to be crucial for both diagnosis and prognosis assessment in patients with heart failure. The aim of this review is to summarize the current techniques for assessing body hydration status as well as the principal biomarkers associated with acute heart failure (AHF). Although clinical history, physical examination and classical imaging techniques (e.g., standard radiography and echocardiography) still represent the cornerstones, novel and promising tools, such as biomarkers and bio-electrical impedance are achieving an emerging role in clinical practice for the assessment of total body fl uid content. In the acute setting, the leading advantages of these innovative methods over device are represented by the much lower invasiveness and the reasonable costs, coupled with an easier and faster application. This article is mainly focused on AHF patients, not only because the overall prevalence of this disease is dramatically increasing worldwide, but also because it is well-known that their fl uid overload has a remarkable diagnostic and prognostic significance. It is thereby conceivable that the bio-electrical vector analysis (BIVA) coupled with laboratory biomarkers might achieve much success in AHF patient management in the future, especially for assisting diagnosis, risk stratifi cation, and therapeutic decision-making.

Modern processors perform dynamic scheduling to achieve better utilization of execution resources. A schedule created at run-time is often better than one created at compile-time as it can dynamically adapt to specific events encountered at execution-time. In this paper, we examine some fundamental impediments to effective static scheduling. More specifically, we examine the question of why schedules generated quasi-dynamically by a low-level runtime optimizer and executed on a statically scheduled machine perform worse than using a dynamically-scheduled approach. We observe that such schedules suffer because of region boundaries and a skewed distribution of parallelism towards the beginning of a region. To overcome these limitations, we investigate a new concept, region slip, in which the schedules of different statically-scheduled regions can be interleaved in the processor issue queue to reduce the region boundary effects that cause empty issue slots.

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