Abstract:
Methods, procedures, apparatuses, computer programs, computer-accessible mediums, processing arrangements and systems generally related to data multi-casting in a distributed processor architecture are described. Various implementations may include identifying a plurality of target instructions that are configured to receive a first message from a source; providing target routing instructions to the first message for each of the target instructions including selected information commonly shared by the target instructions; and, when two of the identified target instructions are located in different directions from one another relative to a router, replicating the first message and routing the replicated messages to each of the identified target instructions in the different directions. The providing target routing instructions may further comprise the selected information utilizing a subset of bits that is commonly shared by the target instructions and being identified as a left operand, right operand or predicate operand, and may include the selection of one of a plurality of multiple-instruction subsets of the target instructions.
Abstract:
Examples of a system, method and computer accessible medium are provided to generate a predicate prediction for a distributed multi-core architecture. Using such system, method and computer accessible medium, it is possible to intelligently encode approximate predicate path information on branch instructions. Using this statically generated information, distributed predicate predictors can generate dynamic predicate histories that can facilitate an accurate prediction of high-confidence predicates, while minimizing the communication between the cores.
Abstract:
Examples of a method, system, and computer-accessible medium are provided which can utilize a neural branch predictor on, e.g., an analog circuit. For example, a current summation can be used instead of the digital dot-product generally used in traditional neural predictor designs. A scaling factor may also be used to increase prediction accuracy.
Abstract:
Techniques related to dependence prediction for a memory system are generally described. Various implementations may include a predictor storage storing a value corresponding to at least one prediction type associated with at least one load operation, and a state-machine having multiple states. For example, the state-machine may determine whether to execute the load operation based upon a prediction type associated with each of the states and a corresponding precedent to the load operation for the associated prediction type. The state-machine may further determine the prediction type for a subsequent load operation based on a result of the load operation. The states of the state machine may correspond to prediction types, which may be a conservative prediction type, an aggressive prediction type, or one or more N-store prediction types, for example.
Abstract:
The present invention provides a Mycoplasma pneumoniae community acquired respiratory distress syndrome (CARDS) toxin, biologically active fragments/domains of the CARDS toxin, antibodies to the CARDS toxin, therapeutic fusion proteins comprising the CARDS toxin and/or biologically active fragments/domains of the CARDS toxin and nucleic acids encoding the CARDS toxin and fusion proteins. Also provided are methods of treating and/or preventing diseases and disorders using the compositions provided herein.
Abstract:
The present invention provides a fusion protein comprising a first amino acid sequence of at least one immunoglobulin-binding domain of Protein L and a second amino acid sequence of a peptide or protein that does not bind an immunoglobulin Fc region, as well as methods of making and using the fusion protein of this invention.
Abstract:
The present invention includes a bifunctional specificity structure that includes a peptide linker having a first and a second binding domain, wherein the first binding domain is selective for a first biomaterial and the second binding domain is selective for a second biomaterial. The present invention also includes a method of making and identifying the bifunctional structure of the present invention and methods of using the same.
Abstract:
The present invention is a system, method for accessing domains of information to identify heretofore unknown relationships between disparate sources of data (7) to seek and obtain knowledge (18), the invention includes a source of data with one or more domains of information, an Object-Relationship Database (53) for integrating objects from one or more domains of information and a knowledge discovery engine (54) where relationships between two or more objects are identified, retrieved, grouped, ranked, filtered and numerically evaluated.
Abstract:
The present invention relates to a system and computer-based method that is used to determine thermodynamic environment differences within a protein. This method is used to construct a database of proteins, wherein the database can be used to identify correct sequences that correspond to a particular target fold.
Abstract:
The present invention provides a system and a method for the production of microparticles and nanoparticles of materials that can be dissolved. The system and method of the present invention provide quicker freezing times, which in turn produces a more uniform distribution of particle sizes, smaller particles, particles with increased porosity and a more intimate mixing of the particle components. The system and method of the present invention also produce particles with greater surface area than conventional methods. One form of the present invention provides a method for the preparation of particles. An effective ingredient is mixed with water, one or more solvents, or a combination thereof, and the resulting mixture is sprayed through an insulating nozzle located at or below the level of a cryogenic liquid. The spray generates frozen particles.