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Performance and power analysis of high-density multi-GPGPU architectures: A preliminary case study
A system architecture with high-density general purpose graphic processing unit (GPGPU) is
emerging as a promising solution that can offer high compute performance and performance …
emerging as a promising solution that can offer high compute performance and performance …
Optimal circulant graphs as low-latency network topologies
Communication latency has become one of the determining factors for the performance of
parallel clusters. To design low-latency network topologies for high-performance computing …
parallel clusters. To design low-latency network topologies for high-performance computing …
A multiple time step** algorithm for efficient multiscale modeling of platelets flowing in blood plasma
We developed a multiple time-step** (MTS) algorithm for multiscale modeling of the
dynamics of platelets flowing in viscous blood plasma. This MTS algorithm improves …
dynamics of platelets flowing in viscous blood plasma. This MTS algorithm improves …
Matrix multiplication on high-density multi-GPU architectures: theoretical and experimental investigations
Matrix multiplication (MM) is one of the core problems in the high performance computing
domain and its efficiency impacts performances of almost all matrix problems. The high …
domain and its efficiency impacts performances of almost all matrix problems. The high …
A phenomenological particle‐based platelet model for simulating filopodia formation during early activation
We developed a phenomenological three‐dimensional platelet model to characterize the
filopodia formation observed during early stage platelet activation. Departing from …
filopodia formation observed during early stage platelet activation. Departing from …
Optimal low-latency network topologies for cluster performance enhancement
We propose that clusters interconnected with network topologies having minimal mean path
length will increase their processing speeds. We approach our heuristic by constructing …
length will increase their processing speeds. We approach our heuristic by constructing …
QuantCloud: big data infrastructure for quantitative finance on the cloud
P Zhang, K Yu, JY Jessica… - IEEE Transactions on Big …, 2017 - ieeexplore.ieee.org
In this paper, we present the QuantCloud infrastructure, designed for performing big data
analytics in modern quantitative finance. Through analyzing market observations …
analytics in modern quantitative finance. Through analyzing market observations …
[PDF][PDF] Symmetric and folded tori connected torus network
Hierarchical interconnection networks provide high performance at low cost by exploring the
locality that exists in the communication patterns of massively parallel computers. A …
locality that exists in the communication patterns of massively parallel computers. A …
Reducing static energy in supercomputer interconnection networks using topology-aware partitioning
The key to reducing static energy in supercomputers is switching off their unused
components. Routers are the major components of a supercomputer. Whether routers can …
components. Routers are the major components of a supercomputer. Whether routers can …
Design and architecture of dell acceleration appliances for database (DAAD): A practical approach with high availability guaranteed
As IT organizations are pursuing database High Availability (HA) solutions to ensure and
protest critical commercial data, the challenge is to leverage the three-fold key dimensions …
protest critical commercial data, the challenge is to leverage the three-fold key dimensions …