The Experts below are selected from a list of 360 Experts worldwide ranked by ideXlab platform
Joh M Neff - One of the best experts on this subject based on the ideXlab platform.
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family centered care current applications and future directions in pediatric health care
Maternal and Child Health Journal, 2012Co-Authors: Dennis Z Kuo, Amy J Houtrow, Polly Arango, Kare Kuhlthau, Jeffrey M Simmons, Joh M NeffAbstract:Family-centered care (FCC) is a partnership approach to health care decision-making between the family and health care provider. FCC is considered the standard of pediatric health care by many clinical practices, hospitals, and health care groups. Despite widespread endorsement, FCC continues to be insufficiently implemented into clinical practice. In this paper we enumerate the core principles of FCC in pediatric health care, describe recent advances applying FCC principles to clinical practice, and propose an agenda for practitioners, hospitals, and health care groups to translate FCC into improved health outcomes, health care delivery, and health care system transformation.
Dennis Z Kuo - One of the best experts on this subject based on the ideXlab platform.
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family centered care current applications and future directions in pediatric health care
Maternal and Child Health Journal, 2012Co-Authors: Dennis Z Kuo, Amy J Houtrow, Polly Arango, Kare Kuhlthau, Jeffrey M Simmons, Joh M NeffAbstract:Family-centered care (FCC) is a partnership approach to health care decision-making between the family and health care provider. FCC is considered the standard of pediatric health care by many clinical practices, hospitals, and health care groups. Despite widespread endorsement, FCC continues to be insufficiently implemented into clinical practice. In this paper we enumerate the core principles of FCC in pediatric health care, describe recent advances applying FCC principles to clinical practice, and propose an agenda for practitioners, hospitals, and health care groups to translate FCC into improved health outcomes, health care delivery, and health care system transformation.
Pradeep Dubey - One of the best experts on this subject based on the ideXlab platform.
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can traditional programming bridge the ninja performance gap for parallel computing applications
International Symposium on Computer Architecture, 2012Co-Authors: Nadathur Satish, Changkyu Kim, Jatin Chhugani, Hideki Saito, Rakesh Krishnaiyer, Mikhail Smelyanskiy, Milind B Girkar, Pradeep DubeyAbstract:Current processor trends of integrating more cores with wider SIMD units, along with a deeper and complex memory hierarchy, have made it increasingly more challenging to extract performance from applications. It is believed by some that traditional approaches to programming do not apply to these modern processors and hence radical new languages must be discovered. In this paper, we question this thinking and offer evidence in support of traditional programming methods and the performance-vs-programming effort effectiveness of common multi-core processors and upcoming Many-Core architectures in delivering significant speedup, and close-to-optimal performance for commonly used parallel computing workloads. We first quantify the extent of the "Ninja gap", which is the performance gap between naively written C/C++ code that is parallelism unaware (often serial) and best-optimized code on modern multi-/Many-Core processors. Using a set of representative throughput computing benchmarks, we show that there is an average Ninja gap of 24X (up to 53X) for a recent 6-core Intel® Core™ i7 X980 Westmere CPU, and that this gap if left unaddressed will inevitably increase. We show how a set of well-known algorithmic changes coupled with advancements in modern compiler technology can bring down the Ninja gap to an average of just 1.3X. These changes typically require low programming effort, as compared to the very high effort in producing Ninja code. We also discuss hardware support for programmability that can reduce the impact of these changes and even further increase programmer productivity. We show equally encouraging results for the upcoming Intel® Many Integrated Core architecture (Intel® MIC) which has more cores and wider SIMD. We thus demonstrate that we can contain the otherwise uncontrolled growth of the Ninja gap and offer a more stable and predictable performance growth over future architectures, offering strong evidence that radical language changes are not required.
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Larrabee: A Many-Core x86 Architecture for Visual Computing
IEEE Micro, 2009Co-Authors: Larry D. Seiler, Douglas M. Carmean, Eric Sprangle, Tom Forsyth, Pradeep Dubey, Stephen Junkins, Adam T. Lake, Robert Dale Cavin, Roger Espasa, Edward T. GrochowskiAbstract:The Larrabee Many-Core visual computing architecture uses multiple in-order x86 cores augmented by wide vector processor units, together with some fixed-function logic. This increases the architecture's programmability as compared to standard GPUs. The article describes the Larrabee architecture, a software renderer optimized for it, and other highly parallel applications. The article analyzes performance through scalability studies based on real-world workloads.
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Larrabee: a Many-Core x86 architecture for visual computing
ACM Transactions on Graphics, 2008Co-Authors: Larry D. Seiler, Douglas M. Carmean, Eric Sprangle, Tom Forsyth, Pradeep Dubey, Stephen Junkins, Adam T. Lake, Michael Abrash, Jeremy Sugerman, Robert Dale CavinAbstract:This paper presents a Many-Core visual computing architecture code named Larrabee, a new software rendering pipeline, a manycore programming model, and performance analysis for several applications. Larrabee uses multiple in-order x86 CPU cores that are augmented by a wide vector processor unit, as well as some fixed function logic blocks. This provides dramatically higher performance per watt and per unit of area than out-of-order CPUs on highly parallel workloads. It also greatly increases the flexibility and programmability of the architecture as compared to standard GPUs. A coherent on-die 2nd level cache allows efficient inter-processor communication and high-bandwidth local data access by CPU cores. Task scheduling is performed entirely with software in Larrabee, rather than in fixed function logic. The customizable software graphics rendering pipeline for this architecture uses binning in order to reduce required memory bandwidth, minimize lock contention, and increase opportunities for parallelism relative to standard GPUs. The Larrabee native programming model supports a variety of highly parallel applications that use irregular data structures. Performance analysis on those applications demonstrates Larrabee's potential for a broad range of parallel computation.
Paul W Newacheck - One of the best experts on this subject based on the ideXlab platform.
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planning for health care transitions results from the 2005 2006 national survey of children with special health care needs
Pediatrics, 2009Co-Authors: Debra Lotstein, Reem M Ghandour, Amanda Cash, Elizabeth Mcguire, Bonnie Strickland, Paul W NewacheckAbstract:OBJECTIVES. Many youth with special health care needs have difficulties transferring to adult medical care. To address this, the Maternal and Child Health Bureau has made receipt of transition services a core performance outcome for community-based systems of care for youth with special health care needs. In this article we describe the results for the transition core outcome from the 2005–2006 National Survey of Children With Special Health Care Needs. We also describe changes in the measurement strategy for this outcome since the first National Survey of Children With Special Health Care Needs in 2001. METHODS. In the nationally representative, cross-sectional 2005–2006 National Survey of Children With Special Health Care Needs, parent or guardian respondents of 18198 youth with special health care needs (aged 12–17) were asked if they have had discussions with their child9s health care providers about (1) future adult providers, (2) future adult health care needs, (3) changes in health insurance, and (4) encouraging their child to take responsibility for his or her care. All 4 components had to be met for the youth to meet the overall transition core outcome. Those who had not had transition discussions reported if such discussions would have been helpful. RESULTS. Overall, 41% of youth with special health care needs met the core performance outcome for transition. Forty-two percent had discussed shifting care to an adult provider, 62% discussed their child9s adult health care needs, and 34% discussed upcoming changes in health insurance. Most (78%) respondents said that providers usually or always encourage their child to take responsibility for his or her health. Non-Hispanic black or Hispanic race/ethnicity, lower income level, not speaking English, and not having a medical home reduced the odds of meeting the transition core outcome. CONCLUSIONS. Current performance on the transition core outcome leaves much room for improvement. Many parents feel that having transition-related discussions with their health care providers would be helpful. Future clinical and policy-level research should be directed at identifying barriers to, and recommending content for, health transition discussions.
Robert Dale Cavin - One of the best experts on this subject based on the ideXlab platform.
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Larrabee: A Many-Core x86 Architecture for Visual Computing
IEEE Micro, 2009Co-Authors: Larry D. Seiler, Douglas M. Carmean, Eric Sprangle, Tom Forsyth, Pradeep Dubey, Stephen Junkins, Adam T. Lake, Robert Dale Cavin, Roger Espasa, Edward T. GrochowskiAbstract:The Larrabee Many-Core visual computing architecture uses multiple in-order x86 cores augmented by wide vector processor units, together with some fixed-function logic. This increases the architecture's programmability as compared to standard GPUs. The article describes the Larrabee architecture, a software renderer optimized for it, and other highly parallel applications. The article analyzes performance through scalability studies based on real-world workloads.
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Larrabee: a Many-Core x86 architecture for visual computing
ACM Transactions on Graphics, 2008Co-Authors: Larry D. Seiler, Douglas M. Carmean, Eric Sprangle, Tom Forsyth, Pradeep Dubey, Stephen Junkins, Adam T. Lake, Michael Abrash, Jeremy Sugerman, Robert Dale CavinAbstract:This paper presents a Many-Core visual computing architecture code named Larrabee, a new software rendering pipeline, a manycore programming model, and performance analysis for several applications. Larrabee uses multiple in-order x86 CPU cores that are augmented by a wide vector processor unit, as well as some fixed function logic blocks. This provides dramatically higher performance per watt and per unit of area than out-of-order CPUs on highly parallel workloads. It also greatly increases the flexibility and programmability of the architecture as compared to standard GPUs. A coherent on-die 2nd level cache allows efficient inter-processor communication and high-bandwidth local data access by CPU cores. Task scheduling is performed entirely with software in Larrabee, rather than in fixed function logic. The customizable software graphics rendering pipeline for this architecture uses binning in order to reduce required memory bandwidth, minimize lock contention, and increase opportunities for parallelism relative to standard GPUs. The Larrabee native programming model supports a variety of highly parallel applications that use irregular data structures. Performance analysis on those applications demonstrates Larrabee's potential for a broad range of parallel computation.
