Adapt or Become Extinct!:The Case for a Unified Framework for Deployment-Time Optimization

The High-Performance Computing ecosystem consists of a large variety of execution platforms that demonstrate a wide diversity in hardware characteristics such as CPU architecture, memory organization, interconnection network, accelerators, etc. This environment also presents a number of hard boundaries (walls) for applications which limit software development (parallel programming wall), performance (memory wall, communication wall) and viability (power wall). The only way to survive in such a demanding environment is by adaptation. In this paper we discuss how dynamic information collected during the execution of an application can be utilized to adapt the execution context and may lead to performance gains beyond those provided by static information and compile-time adaptation. We consider specialization based on dynamic information like user input, architectural characteristics such as the memory hierarchy organization, and the execution profile of the application as obtained from the execution platform\u27s performance monitoring units. One of the challenges of future execution platforms is to allow the seamless integration of these various kinds of information with information obtained from static analysis (either during ahead-of-time or just-in-time) compilation. We extend the notion of information-driven adaptation and outline the architecture of an infrastructure designed to enable information flow and adaptation through-out the life-cycle of an application

Postpartum ovarian vein thrombosis after cesarean delivery: a case report

<p>Abstract</p> <p>Introduction</p> <p>Postpartum ovarian vein thrombosis is an uncommon complication; incidence varies between 0.002% and 0.05%. It most often occurs during the 2–15 days following delivery.</p> <p>Case presentation</p> <p>A 22-year-old pregnant woman at term presented to hospital with uterine contractions, abdominal pain, nausea and vomiting. After delivery an ovarian vein thrombosis was diagnosed.</p> <p>Conclusion</p> <p>Low-molecular weight heparin with broad-spectrum antibiotics are the accepted therapy in non-complicated cases of postpartum ovarian vein thrombosis.</p

Stroke

Background and Purpose- We compared the 1-year safety and effectiveness of rivaroxaban 15 mg (R15) or rivaroxaban 20 mg (R20) to vitamin K antagonists (VKAs) in patients with nonvalvular atrial fibrillation. Methods- New user cohort study of patients dispensed R15 or R20 versus VKA in 2013 or 2014 for nonvalvular atrial fibrillation, followed 1 year in the French Systeme National des Donnees de Sante (66 million people). R15 and R20 users were matched 1:1 with VKA users on sex, age, date of first drug dispensing, and high-dimensional propensity score. Hazard ratios (95% CIs) for stroke and systemic embolism, major bleeding, and death were computed using Cox proportional hazards or models by Fine and Gray during exposure. Results- In 31 171 matched R20 and VKA, mean age, 71; 62% men; 76% with CHA2DS2-VASc >/=2; 5% HAS-BLED >3 (hypertension, abnormal renal and liver function, stroke, bleeding, labile INR, elderly, drugs or alcohol); incidence rates for stroke and systemic embolism were 1.5% and 1.9% (hazard ratio, 0.79 [0.69-0.90]); major bleeding, 1.5% and 2.2% (0.67 [0.59-0.77]); death, 3.9% and 5.8% (0.67 [0.61-0.73]). In 23 314 matched R15 and VKA patients, mean age, 80; 47% men; 93% with CHA2DS2-VASc >/=2 and 9% with HAS-BLED >3; incidence rates of stroke and systemic embolism were 2.3% and 2.1% (1.05 [0.92-1.21]); major bleeding, 2.4% and 2.9% (0.84 [0.74-0.96]); death, 9.1% and 10.8% (0.85 [0.79-0.90]). Numbers needed to treat to observe one fewer death (NNT) were 46 for R15 and 61 for R20. Conclusions- In real life in France over 2013 to 2015, R15 and R20 were at least as effective and safer than VKA. Clinical Trial Registration- URL: http://www.encepp.eu. Unique identifier: EUPAS14567

Polymorphisms of TP53 codon 72 with breast carcinoma risk: evidence from 12226 cases and 10782 controls

<p>Abstract</p> <p>Background</p> <p>Previously, TP53 codon 72 polymorphisms have been implicated as risk factors for various cancers. A number of studies have conducted on the association of TP53 codon 72 polymorphisms with susceptibility to breast carcinoma and have yielded inconclusive results. The aim of the present study was to derive a more precise estimation of the relationship.</p> <p>Methods</p> <p>We conducted a search in the Medline, EMBASE, OVID, Sciencedirect, and Chinese National Knowledge Infrastructure (CNKI) without a language limitation, covering all papers published up to Jan 2009. The associated literature was acquired through deliberate searching and selected based on the established inclusion criteria for publications.</p> <p>Results</p> <p>A total of seventeen case-control studies, including 12226 cases and 10782 controls, met the included criteria and thus were selected. Ultimately, the relevant data were extracted and further analyzed using systematic meta-analyses. Overall, no associations of TP53 codon 72 polymorphisms with breast carcinoma were observed (for Arg/Arg vs Pro/Pro: OR = 1.20; 95%CI = 0.96–1.50; for dominant model: OR = 1.12; 95%CI = 0.96–1.32; for recessive model: OR = 1.13; 95%CI = 0.98–1.31). In the subgroup analysis by ethnicity, statistically similar results were obtained when the data were stratified as Asians, Caucasians and Africans.</p> <p>Conclusion</p> <p>Collectively, the results of the present study suggest that <it>TP53 codon 72 </it>polymorphisms might not be a low-penetrant risk factor for developing breast carcinoma.</p

Age at menopause and the risk of stroke: observational and Mendelian randomization analysis in 204 244 postmenopausal women

Background Observational studies have shown that women with an early menopause are at higher risk of stroke compared with women with a later menopause. However, associations with stroke subtypes are inconsistent, and the causality is unclear. Methods and Results We analyzed data of the UK Biobank and EPIC‐CVD (European Prospective Investigation Into Cancer and Nutrition‐Cardiovascular Diseases) study. A total of 204 244 postmenopausal women without a history of stroke at baseline were included (7883 from EPIC‐CVD [5292 from the subcohort], 196 361 from the UK Biobank). Pooled mean baseline age was 58.9 years (SD, 5.8), and pooled mean age at menopause was 47.8 years (SD, 6.2). Over a median follow‐up of 12.6 years (interquartile range, 11.8–13.3), 6770 women experienced a stroke (5155 ischemic strokes, 1615 hemorrhagic strokes, 976 intracerebral hemorrhages, and 639 subarachnoid hemorrhages). In multivariable adjusted observational Cox regression analyses, the pooled hazard ratios per 5 years younger age at menopause were 1.09 (95% CI, 1.07–1.12) for stroke, 1.09 (95% CI, 1.06–1.13) for ischemic stroke, 1.10 (95% CI, 1.04–1.16) for hemorrhagic stroke, 1.14 (95% CI, 1.08–1.20) for intracerebral hemorrhage, and 1.00 (95% CI, 0.84–1.20) for subarachnoid hemorrhage. When using 2‐sample Mendelian randomization analysis, we found no statistically significant association between genetically proxied age at menopause and risk of any type of stroke. Conclusions In our study, earlier age at menopause was related to a higher risk of stroke. We found no statistically significant association between genetically proxied age at menopause and risk of stroke, suggesting no causal relationship

Direct comparisons of effectiveness and safety of treatment with Apixaban, Dabigatran and rivaroxaban in atrial fibrillation

Introduction: Direct oral anticoagulants (DOACs) have been proven non-inferior or superior to warfarin in preventing stroke and systemic embolism, with a lower risk of major hemorrhage, in patients with non-valvular atrial fibrillation (NVAF). We sought to investigate whether effectiveness and safety differs among apixaban, rivaroxaban and dabigatran. Materials and methods: Patients with newly initiated DOAC treatment were identified from the Swedish anticoagulation quality registry, ranging from January 1, 2013 to December 31, 2015. Patients were assigned to apixaban, dabigatran or rivaroxaban cohorts based on initiated DOAC and dose (standard or reduced). Baseline characteristics and endpoints were retrieved from validated Swedish quality registers and the National Patient Registry. Cohorts were matched using full optimal matching and directly compared. Results: A total of 25,843 NVAF patients were included. Patients treated with standard dose apixaban or dabigatran had lower risk of major bleeding than patients treated with rivaroxaban, HR 0.69 (95% CI 0.54–0.88) and HR 0.64 (95% CI 0.48–0.87). Regarding reduced dose, patients treated with apixaban had lower risk of major bleeding than those treated with dabigatran or rivaroxaban, HR 0.62 (95% CI 0.44–0.88) and HR 0.45 (95% CI 0.33–0.61). In reduced dose, patients treated with dabigatran had the lowest all-cause mortality. No differences in effectiveness were found. Conclusions: In this large real-world NVAF cohort, direct comparisons show a favorable bleeding risk profile for dabigatran and apixaban in standard dose, and for apixaban in reduced dose. No differences in effectiveness were found. This study confirms previous indirect DOAC comparisons. Further studies are needed

Declarative, SAT-solver-based Scheduling for an Embedded Architecture with a Flexible Datapath

Abstract-Much like VLIW, statically scheduled architectures that expose all control signals to the compiler offer much potential for highly parallel, energy-efficient performance. Bau is a novel compilation infrastructure that leverages the LLVM compilation tools and the MiniSAT solver to generate efficient code for one such exposed architecture. We first build a compiler construction library that allows scheduling and resource constraints to be expressed declaratively in a domainspecific language, and then use this library to implement a compiler that generates programs that are 1.2-1.5 times more compact than either a baseline MIPS R2K compiler or a basic-block-based, sequentially phased scheduler

Power-Aware Resource Scheduling in Base Stations

Baseband stations for Long Term Evolution (LTE) communication processing tend to rely on over-provisioned resources to ensure that peak demands can be met. These systems must meet user Quality of Service expectations, but during non-peak workloads, for instance, many of the cores could be placed in low-power modes. One key property of such application-specific systems is that they execute frequent, short-lived tasks. Sophisticated resource management and task scheduling approaches suffer intolerable overhead costs in terms of time and expense, and thus lighter-weight and more efficient strategies are essential to both saving power and meeting performance expectations. To this end, we develop a flexible, non-propietary LTE workload model to drive our resource management studies. Here we describe our experimental infrastructure and present early results that underscore the promise of our approach along with its implications on future hardware/software codesign