Juan Fernández - Academia.edu (original) (raw)

Juan Fernández

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Truong Cao Dung

Abhinav Rohit

David Moss

Swinburne University of Technology, Hawthorn

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Papers by Juan Fernández

Research paper thumbnail of Reconfigurable reflective arrayed waveguide grating using optimization algorithms

Research paper thumbnail of Laser acceleration of quasi-monoenergetic MeV ion beams

Research paper thumbnail of Experimental studies for ultrahigh laser intensity interaction with targets with new cluster loading

Experimental results and related arrangements are reported from application of the TRIDENT laser ... more Experimental results and related arrangements are reported from application of the TRIDENT laser with pulses of 250TW power and about 500fs duration interacting with targets with cluster loading at extremely high contrast ratio.

Research paper thumbnail of Scalable resource management in high performance computers

Cluster Computing, …, 2002

Clusters of workstations have emerged as an important platform for building cost-effective, scala... more Clusters of workstations have emerged as an important platform for building cost-effective, scalable, and highlyavailable computers. Although many hardware solutions are available today, the largest challenge in making largescale clusters usable lies in the system software. In this paper we present STORM, a resource management tool designed to provide scalability, low overhead, and the flexibility necessary to efficiently support and analyze a wide range of job-scheduling algorithms. STORM achieves these feats by using a small set of primitive mechanisms that are common in modern high-performance interconnects. The architecture of STORM is based on three main technical innovations. First, a part of the scheduler runs in the thread processor located on the network interface. Second, we use hardware collectives that are highly scalable both for implementing control heartbeats and to distribute the binary of a parallel job in near-constant time. Third, we use an I/O bypass protocol that allows fast data movements from the file system to the communication buffers in the network interface and vice versa. The experimental results show that STORM can launch a job with a binary of

Research paper thumbnail of Reconfigurable reflective arrayed waveguide grating using optimization algorithms

Research paper thumbnail of Laser acceleration of quasi-monoenergetic MeV ion beams

Research paper thumbnail of Experimental studies for ultrahigh laser intensity interaction with targets with new cluster loading

Experimental results and related arrangements are reported from application of the TRIDENT laser ... more Experimental results and related arrangements are reported from application of the TRIDENT laser with pulses of 250TW power and about 500fs duration interacting with targets with cluster loading at extremely high contrast ratio.

Research paper thumbnail of Scalable resource management in high performance computers

Cluster Computing, …, 2002

Clusters of workstations have emerged as an important platform for building cost-effective, scala... more Clusters of workstations have emerged as an important platform for building cost-effective, scalable, and highlyavailable computers. Although many hardware solutions are available today, the largest challenge in making largescale clusters usable lies in the system software. In this paper we present STORM, a resource management tool designed to provide scalability, low overhead, and the flexibility necessary to efficiently support and analyze a wide range of job-scheduling algorithms. STORM achieves these feats by using a small set of primitive mechanisms that are common in modern high-performance interconnects. The architecture of STORM is based on three main technical innovations. First, a part of the scheduler runs in the thread processor located on the network interface. Second, we use hardware collectives that are highly scalable both for implementing control heartbeats and to distribute the binary of a parallel job in near-constant time. Third, we use an I/O bypass protocol that allows fast data movements from the file system to the communication buffers in the network interface and vice versa. The experimental results show that STORM can launch a job with a binary of

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