S3.mp (Sun's Scalable Shared memory MultiProcessor)is a research project to demonstrate a low overhead, high throughput communication system that is based on cache coherent distributed shared memory (DSM). S3.mp uses distributed directories and point-to-point messages that are sent over a packet switched interconnect fabric to achieve scalability over a wide range of configurations.
S3.mp uses a new CMOS serial link technology that achieves transmission rates >lGbitlsec and that is directly integrated into a packet router chip. Unlike other DSM systems, S3.mp can be spatially distributed over a local area via fiber optic links. This capability allows S3.mp to interconnect clusters of workstations to form multiprocessor workgroups that efficiently share memory. processors andI 1 0 devices. Multichip module technology, the integrated arbitrary topology router, fast serial linh, and a DSM system that is integrated into the memory controller allow compact, massively parallel S3.mp systems.
We report fast, non-scanning, wide-field two-photon fluorescence excitation with spectral and lifetime detection for in vivo biomedical applications. We determined the optical characteristics of the technique, developed a Gaussian flat-field correction method to reduce artifacts resulting from non-uniform excitation such that contrast is enhanced, and showed that it can be used for ex vivo and in vivo cellular-level imaging. Two applications were demonstrated: (i) ex vivo measurements of beta-amyloid plaques in retinas of transgenic mice, and (ii) in vivo imaging of sulfonated gallium(III) corroles injected into tumors. We demonstrate that wide-field two photon fluorescence excitation with flat-field correction provides more penetration depth as well as better contrast and axial resolution than the corresponding one-photon wide field excitation for the same dye. Importantly, when this technique is used together with spectral and fluorescence lifetime detection modules, it offers improved discrimination between fluorescence from molecules of interest and autofluorescence, with higher sensitivity and specificity for in vivo applications.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.