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Achieving the performance potential of an Exascale machine depends on realizing both operational efficiency and scalability in high performance computing applications. This requirement has motivated the emergence of several new programming models which emphasize fine and medium grain task parallelism in order to address the aggravating effects of asynchrony(More)
Most of HPC services are still designed around a centralized paradigm and hence are susceptible to scaling issues. P2P services have proved themselves at scale for wide-area internet workloads. Distributed key-value stores (KVS) are widely used as a building block for these services, but are not prevalent in HPC services. In this paper, we simulate KVS for(More)
We report a case of an 18-year-old male who presented with watering and inability to close the left eye completely since 6 months and inability to move both eyes outward and to close the mouth since childhood. Ocular, facial, and systemic examination revealed that the patient had bilateral complete lateral rectus and bilateral incomplete medial rectus(More)
Owing to the significant high rate of component failures at extreme scales, system services will need to be failure-resistant, adaptive and self-healing. A majority of HPC services are still designed around a centralized paradigm and hence are susceptible to scaling issues. Peer-to-peer services have proved themselves at scale for wide-area internet(More)
Modern parallel computing hardware demands increasingly specialized attention to the details of scheduling and load balancing across heterogeneous execution resources that may include GPU and cloud environments, in addition to traditional CPUs. Many existing solutions address the challenges of particular resources, but do so in isolation, and in general do(More)
Owing to the extreme parallelism and the high component failure rates of tomorrow's exascale, high-performance computing (HPC) system software will need to be scalable, failure-resistant, and adaptive for sustained system operation and full system utilizations. Many of the existing HPC system software are still designed around a centralized server paradigm(More)
The precise recognition of appropriate synaptic partner neurons is a critical step during neural circuit assembly. However, little is known about the developmental context in which recognition specificity is important to establish synaptic contacts. We show that in the Drosophila visual system, sequential segregation of photoreceptor afferents, reflecting(More)
OSCAR has matured over the years into a very capable, yet simple high-performance clustering platform solution. Ease of building and administrating a cluster, effective resource management and scalable performance are some of the issues which have gathered a lot of focus in the HPC domain lately. This technical paper describes the integration of OSCAR and(More)
Domain-specific languages offer programming abstractions that enable higher efficiency, productivity and portability specific to a given application domain. Domain-specific languages such as StreamIt have valuable auto-parallelizing code-generators, but they require learning a new language and tool-chain and may not integrate easily with a larger(More)