Jose Mumbru
California Institute of Technology
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Publication
Featured researches published by Jose Mumbru.
2000 International Topical Meeting on Optics in Computing (OC2000) | 2000
Jose Mumbru; George Panotopoulos; Demetri Psaltis; Xin An; Fai H. Mok; Suat U. Ay; Sandor L. Barna; Eric R. Fossum
The Optically Programmable Gate Array (OPGA), an optical version of a conventional FPGA, benefits from a direct parallel interface between an optical memory and a logic circuit. The OPGA utilizes a holographic memory accessed by an array of VCSELs to program its logic. An active pixel sensor array incorporated into the OPGA chip makes it possible to optically address the logic in a very short time allowing for rapid dynamic reconfiguration. Combining spatial and shift multiplexing to store the configuration pages in the memory, the OPGA module can be made compact. The reconfiguration capability of the OPGA can be applied to solve more efficiently problems in pattern recognition and database search.
Conference on Algorithms, Devices, and Systems for Optical Information Processing III | 1999
Jose Mumbru; Gan Zhou; Xin An; Wenhai Liu; George Panotopoulos; Fai H. Mok; Demetri Psaltis
The high data transfer rate achievable in page-oriented optical memories demands for parallel interfaces to logic circuits able to process efficiently the data. The Optically Programmable Gate Array, an enhanced version of a conventional FPGA, utilizes a holographic memory accessed by an array of VCSELs to program its logic. Combining spatial and shift multiplexing to store the configuration pages in the memory, the OPGA module is very compact and has extremely short configuration time allowing for dynamic reconfiguration. The reconfiguration capability of the OPGA can be applied to solve more efficiently problems in pattern recognition and digit classification.
southwest symposium on mixed signal design | 2000
Jose Mumbru; G. Panotopulos; Demetri Psaltis; Gan Zhou; Xin An; Fai Mok
Reconfigurable processors, like the field programmable gate arrays (FPGAs), open new computational paradigms where the processor is able to tailor its internal structure to better implement a given application. A typical FPGA consists of an array of configurable logic blocks and a mesh of interconnections fully programmable by the user to perform a given application. By just changing its internal connectivity, the FPGA can implement a totally different new function. However in most of the applications, the FPGA is configured only once and used as coprocessor to carry out some highly complex or time-consuming computation. The reason for such limitation is the small communication bandwidth between the FPGA chip and the external memory, usually ROM, where the configuration data is stored. The Optically Programmable Gate Array (OPGA), an enhanced version of a conventional FPGA, can overcome this problem. The OPGA utilizes a holographic memory accessed by an array of VCSELs to program its logic. The on-chip logic has been complemented with an array of photodetectors to detect the configuration template recorded in the memory. Combining spatial and shift multiplexing to store the configuration pages in the memory, the OPGA module is very compact and has extremely short configuration time allowing for dynamic reconfiguration. The reconfiguration capability of the OPGA can be applied to solve more efficiently problems in pattern recognition and digit classification.
Optics Communications | 2001
Jose Mumbru; Iouri Solomatine; Demetri Psaltis; Shiuan Huei Lin; Ken Yuh Hsu; Wei-Zheng Chen; Wha Tzong Whang
A comparative analysis of phenanthrenequinone-doped poly(methyl methacrylate) materials fabricated at California Institute of Technology and National Chiao Tung University is performed in order to understand the differences exhibited in their recording and baking dynamics.
applied imagery pattern recognition workshop | 2000
Jose Mumbru; George Panotopoulos; Demetri Psaltis; Xin An; Gan Zhou; Fai Mok
Summary form only given, as follows. Reconfigurable processors, like the Field Programmable Gate Arrays (FPGAs), open new computational paradigms where the processor is able to tailor its internal structure to better implement a given application. A typical FPGA consists of an array of configurable logic blocks and a mesh of interconnections fully programmable by the user to perform a given application. By just changing its internal connectivity, the FPGA can implement a totally different new function. However in most of the applications, the FPGA is configured only once and used as coprocessor to carry out some highly complex or time-consuming computation. The reason for such limitation is the small communication bandwidth between the FPGA chip and the external memory, usually ROM, where the configuration data is stored. The Optically Programmable Gate Array (OPGA), an enhanced version of a conventional. FPGA, can overcome this problem. The OPGA utilizes a holographic memory accessed by an array of VCSELs to program its logic. The on-chip logic has been complemented with an array of photodetectors to detect the configuration template recorded in the memory. Combining spatial and shift multiplexing to store the configuration pages in the memory, the OPGA module is very compact and has extremely short configuration time allowing for dynamic reconfiguration. The reconfiguration capability of the OPGA can be applied to solve more efficiently problems in pattern recognition and database searches.
Applied Optics | 1999
Ali Adibi; Jose Mumbru; Kelvin H. Wagner; Demetri Psaltis
We show that when a dynamic hologram is read out by illumination at the Bragg nulls of a previously recorded grating the diffracted beam inside the medium can result in the recording of two secondary gratings that alter the final selectivity curve. This is confirmed experimentally. This effect can cause cross talk in hologram multiplexing that is stronger than interpage cross talk when a small number of holograms with high diffraction efficiencies are multiplexed.
Archive | 2003
Demetri Psaltis; Wenhai Liu; Jose Mumbru; George Barbastathis
Archive | 2004
Jose Mumbru; George Panotopoulos; Demetri Psaltis
European Journal of Paediatric Neurology | 1998
Ali Adibi; Jose Mumbru; Demetri Psaltis