| 151. |
- Bhutta, MF, et al.
(author)
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A mouse-to-man candidate gene study identifies association of chronic otitis media with the loci TGIF1 and FBXO11
- 2017
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In: Scientific reports. - : Springer Science and Business Media LLC. - 2045-2322. ; 7:1, s. 12496-
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Journal article (peer-reviewed)abstract
- Chronic otitis media with effusion (COME) is the most common cause of hearing loss in children, and known to have high heritability. Mutant mouse models have identified Fbxo11, Evi1, Tgif1, and Nisch as potential risk loci. We recruited children aged 10 and under undergoing surgical treatment for COME from 35 hospitals in the UK, and their nuclear family. We performed association testing with the loci FBXO11, EVI1, TGIF1 and NISCH and sought to replicate significant results in a case-control cohort from Finland. We tested 1296 families (3828 individuals), and found strength of association with the T allele at rs881835 (p = 0.006, OR 1.39) and the G allele at rs1962914 (p = 0.007, OR 1.58) at TGIF1, and the A allele at rs10490302 (p = 0.016, OR 1.17) and the G allele at rs2537742 (p = 0.038, OR 1.16) at FBXO11. Results were not replicated. This study supports smaller studies that have also suggested association of otitis media with polymorphism at FBX011, but this is the first study to report association with the locus TGIF1. Both FBX011 and TGIF1 are involved in TGF-β signalling, suggesting this pathway may be important in the transition from acute to chronic middle ear inflammation, and a potential molecular target.
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| 152. |
- Cooray, S., et al.
(author)
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Anti-tumour necrosis factor treatment for the prevention of ischaemic events in patients with deficiency of adenosine deaminase 2 (DADA2)
- 2021
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In: Rheumatology. - : Oxford University Press (OUP). - 1462-0324 .- 1462-0332. ; 60:9, s. 4373-4378
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Journal article (peer-reviewed)abstract
- Objective To evaluate the impact of anti-Tumour Necrosis Factor-alpha (anti-TNF) treatment on the occurrence of vasculitic ischaemic events in patients with deficiency of adenosine deaminase 2 (DADA2). Methods A retrospective analysis of DADA2 patients referred from six centres to Great Ormond Street Hospital for Children was conducted. Ischaemic events, vasculitic disease activity, biochemical, immunological, and radiological features were compared, before and after anti-TNF treatment. Results A total of 31 patients with genetically confirmed DADA2 were included in the study. The median duration of active disease activity prior to anti-TNF treatment was 73months (inter-quartile range [IQR] 27.5-133.5months). Twenty seven/31 patients received anti-TNF treatment for a median of 32months (IQR 12.0-71.5months). The median event rate of central nervous system (CNS) and non-CNS ischemic events before anti-TNF treatment was 2.37 per 100 patient-months (IQR 1.25-3.63); compared with 0.00 per 100 patient-months (IQR 0.0-0.0) post-treatment (p< 0.0001). Paediatric vasculitis activity score (PVAS) was also significantly reduced: median score of 20/63 (IQR 13.0-25.8/63) pre-treatment vs. 2/63 (IQR 0.0-3.8/63) following anti-TNF treatment (p< 0.0001), with mild livedoid rash being the main persisting feature. Anti-TNF treatment was not effective for severe immunodeficiency or bone marrow failure, which required haematopoietic stem cell transplantation (HSCT). Conclusion Anti-TNF treatment significantly reduced the incidence of ischaemic events and other vasculitic manifestations of DADA2, but was not effective for immunodeficiency or bone marrow failure.
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| 153. |
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| 154. |
- Goel, Bhavishya, 1981, et al.
(author)
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A Methodology for Modeling Dynamic and Static Power Consumption
- 2016
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In: Proceedings - 2016 IEEE 30th International Parallel and Distributed Processing Symposium, IPDPS 2016. - 9781509021406 ; , s. 273-282
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Conference paper (peer-reviewed)abstract
- System designers and application programmers must consider trade-offs between performance and energy. Making energy-aware decisions when designing an application or runtime system requires quantitative information about power consumed by different processor components. We present a methodology to model static and dynamic power consumption of individual cores and the uncore components, and we validate our power model for both sequential and parallel benchmarks at different voltage-frequency pairs on an Intel Haswell platform.Our power models yield the following insights about energy-efficient scaling. (1) We show that uncore energy accounts for up to 74% of total energy. In particular, uncore static energy can be as high as 61% of total energy, potentially making it a major source of energy inefficiency. (2) We find that the frequency at which an application expends the lowest energy depends on how memory-bound it is. (3) We demonstrate that even though using more cores may improve performance, the energy consumed by stalled cores during serial portions of the program can make using fewer cores more energy-efficient.
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| 155. |
- Goel, Bhavishya, 1981, et al.
(author)
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Infrastructures for Measuring Power
- 2011
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Reports (other academic/artistic)abstract
- Energy-aware resource management requires some means of measuring power consumption. We present three approaches to measuring processor power. The easiest, least intrusive places a power meter between the system and power outlet. Unfortunately, this provides a single system measurement, and acuity is limited by device sampling frequency. Another method samples power at PSU voltage outputs using current transducers. This logs consumption separately per component, but requires custom hardware and an expensive analog acquisition device. A more accurate alternative samples power directly at the processor voltage regulator’s current-sensing pin, but requires motherboard intrusion. We explain implementation of each approach step-by-step.
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| 156. |
- Goel, Bhavishya, 1981, et al.
(author)
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Performance and energy analysis of the restricted transactional memory implementation on haswell
- 2014
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In: Proceedings of the International Parallel and Distributed Processing Symposium, IPDPS. - 2332-1237. - 9780769552071 ; , s. 615-624
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Conference paper (peer-reviewed)abstract
- Hardware transactional memory implementations are becoming increasingly available. For instance, the Intel Core i7 4770 implements Restricted Transactional Memory (RTM) support for Intel Transactional Synchronization Extensions (TSX). In this paper, we present a detailed evaluation of RTM performance and energy expenditure. We compare RTM behavior to that of the TinySTM software transactional memory system, first by running micro benchmarks, and then by running the STAMP benchmark suite. We find that which system performs better depends heavily on the workload characteristics. We then conduct a case study of two STAMP applications to assess the impact of programming style on RTM performance and to investigate what kinds of software optimizations can help overcome RTM's hardware limitations.
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| 157. |
- Goel, Bhavishya, 1981, et al.
(author)
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Portable, scalable, per-core power estimation for intelligent resource management
- 2010
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In: International Green Computing Conference, 2010, Chicago, USA. - 9781424476121 ; , s. 135-146
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Conference paper (peer-reviewed)abstract
- Performance, power, and temperature are now all first-order design constraints. Balancing power efficiency, thermal constraints, and performance requires some means to convey data about real-time power consumption and temperature to intelligent resource managers. Resource managers can use this information to meet performance goals, maintain power budgets, and obey thermal constraints. Unfortunately, obtaining the required machine introspection is challenging. Most current chips provide no support for per-core power monitoring, and when support exists, it is not exposed to software. We present a methodology for deriving per-core power models using sampled performance counter values and temperature sensor readings. We develop application-independent models for four different (four- to eight-core) platforms, validate their accuracy, and show how they can be used to guide scheduling decisions in power-aware resource managers. Model overhead is negligible, and estimations exhibit 1.1%-5.2% per-suite median error on the NAS, SPEC OMP, and SPEC 2006 benchmarks (and 1.2%-4.4% overall).
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| 158. |
- Goel, Bhavishya, 1981, et al.
(author)
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Techniques to Measure, Model, and Manage Power
- 2012
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In: Advances in Computers. - 0065-2458. - 9780123965288 ; 87, s. 7-54
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Book chapter (other academic/artistic)abstract
- Society's increasing dependence on information technology has resulted in the deployment of vast compute resources. The energy costs of operating these resources coupled with environmental concerns have made energy-aware computing one of the primary challenges for the IT sector. Making energy-efficient computing a rule rather than an exception requires that researchers and system designers use the right set of techniques and tools. These involve measuring, analyzing, and controlling the energy expenditure of computers at varying degrees of granularity. In this chapter, we present techniques to measure power consumption of computer systems at various levels and to compare their effectiveness. We discuss methodologies to estimate processor power consumption using performance-counter-based power modeling and show how the power models can be used for power-aware scheduling. Armed with such techniques and methodologies, we as a research and development community can better address challenges in power-aware management.
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| 159. |
- Goel, P., et al.
(author)
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Perovskite materials as superior and powerful platforms for energy conversion and storage applications
- 2021
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In: Nano Energy. - : Elsevier Ltd. - 2211-2855 .- 2211-3282. ; 80
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Journal article (peer-reviewed)abstract
- In order to meet the continuously growing demand for clean energy, a plethora of advanced materials have been exploited for energy storage applications. Among these materials, perovskites belong to a relatively new family of compounds with the structural formula of ABX3. These compounds exhibit a variety of electrical, optical, and electronic properties to adopt them for a variety of energy conversion and storage applications. The present review highlights the multifaceted nature of perovskite materials by covering a brief background, common crystallographic structures, and the importance of doping with different elements. Our discussion is extended further on the strategic energy applications of perovskites in modern devices such as fuel cells, lithium batteries, supercapacitors, LEDs, and solar cells. © 2020 Elsevier Ltd
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