Abstract: Embodiments of systems, apparatuses and methods provide enhanced function as a service (FaaS) to users, e.g., computer developers and cloud service providers (CSPs). A computing system configured to provide such enhanced FaaS service include one or more controls architectural subsystems, software and orchestration subsystems, network and storage subsystems, and security subsystems. The computing system executes functions in response to events triggered by the users in an execution environment provided by the architectural subsystems, which represent an abstraction of execution management and shield the users from the burden of managing the execution. The software and orchestration subsystems allocate computing resources for the function execution by intelligently spinning up and down containers for function code with decreased instantiation latency and increased execution scalability while maintaining secured execution.

Abstract: A method and system for identifying clinical trial sites is provided. The method includes receiving clinical trial data associated with a plurality of planned clinical trials. Portions of the clinical trial data are identified based on differing data sources. Relevant information is extracted from the portions. Socioeconomic data, demographics data, and epidemiological data are received and combined into a common format. Incorrect address data is corrected and the clinical trial data, socioeconomic data, demographics data, and epidemiological data are standardized. In response, an initial list is generated. The initial list includes associated principle investigators and clinical trial sites associated with planned clinical trials overlaid on the clinical trial data, the socioeconomic data, the demographics data, and the epidemiological data.

Abstract: Methods for supporting wide and efficient front-end operation with guest architecture emulation are disclosed. As a part of a method for supporting wide and efficient front-end operation, upon receiving a request to fetch a first far taken branch instruction, a cache line that includes the first far taken branch instruction, a next cache line and a cache line located at the target of the first far taken branch instruction is read. Based on information that is accessed from a data table, the cache line and either the next cache line or the cache line located at the target is fetched in a single cycle.

Abstract: A method and system for identifying clinical trial sites is provided. The method includes receiving clinical trial data associated with a plurality of planned clinical trials. Portions of the clinical trial data are identified based on differing data sources. Relevant information is extracted from the portions. Socioeconomic data, demographics data, and epidemiological data are received and combined into a common format. Incorrect address data is corrected and the clinical trial data, socioeconomic data, demographics data, and epidemiological data are standardized. In response, an initial list is generated. The initial list includes associated principle investigators and clinical trial sites associated with planned clinical trials overlaid on the clinical trial data, the socioeconomic data, the demographics data, and the epidemiological data.

Abstract: A method and system for identifying clinical trial sites is provided. The method includes receiving clinical trial data associated with a plurality of planned clinical trials. Portions of the clinical trial data are identified based on differing data sources. Relevant information is extracted from the portions. Socioeconomic data, demographics data, and epidemiological data are received and combined into a common format. Incorrect address data is corrected and the clinical trial data, socioeconomic data, demographics data, and epidemiological data are standardized. In response, an initial list is generated. The initial list includes associated principle investigators and clinical trial sites associated with planned clinical trials overlaid on the clinical trial data, the socioeconomic data, the demographics data, and the epidemiological data.

Abstract: An apparatus and method for providing support for execution of optimized code. The apparatus includes a processor that is configured to convert guest code to native code and monitor access to an indicated memory address range associated with a read-only portion of the memory and to detect access to the indicated memory address range. The processor is further configured to raise an exception in response to memory access to the indicated memory address range and determine an access property of the indicated memory address range.

Abstract: A method for predicting a way of a set associative shadow cache is disclosed. As a part of a method, a request to fetch a first far taken branch instruction of a first cache line from an instruction cache is received, and responsive to a hit in the instruction cache, a predicted way is selected from a way array using a way that corresponds to the hit in the instruction cache. A second cache line is selected from a shadow cache using the predicted way and the first cache line and the second cache line are forwarded in the same clock cycle.

Abstract: Methods for supporting wide and efficient front-end operation with guest architecture emulation are disclosed. As a part of a method for supporting wide and efficient front-end operation, upon receiving a request to fetch a first far taken branch instruction, a cache line that includes the first far taken branch instruction, a next cache line and a cache line located at the target of the first far taken branch instruction is read. Based on information that is accessed from a data table, the cache line and either the next cache line or the cache line located at the target is fetched in a single cycle.

Abstract: Methods for supporting wide and efficient front-end operation with guest architecture emulation are disclosed. As a part of a method for supporting wide and efficient front-end operation, upon receiving a request to fetch a first far taken branch instruction, a cache line that includes the first far taken branch instruction, a next cache line and a cache line located at the target of the first far taken branch instruction is read. Based on information that is accessed from a data table, the cache line and either the next cache line or the cache line located at the target is fetched in a single cycle.

Abstract: A method for predicting a way of a set associative shadow cache is disclosed. As a part of a method, a request to fetch a first far taken branch instruction of a first cache line from an instruction cache is received, and responsive to a hit in the instruction cache, a predicted way is selected from a way array using a way that corresponds to the hit in the instruction cache. A second cache line is selected from a shadow cache using the predicted way and the first cache line and the second cache line are forwarded in the same clock cycle.

Abstract: A method for predicting a way of a set associative shadow cache is disclosed. As a part of a method, a request to fetch a first far taken branch instruction of a first cache line from an instruction cache is received, and responsive to a hit in the instruction cache, a predicted way is selected from a way array using a way that corresponds to the hit in the instruction cache. A second cache line is selected from a shadow cache using the predicted way and the first cache line and the second cache line are forwarded in the same clock cycle.

Abstract: A method for predicting a way of a set associative shadow cache is disclosed. As a part of a method, a request to fetch a first far taken branch instruction of a first cache line from an instruction cache is received, and responsive to a hit in the instruction cache, a predicted way is selected from a way array using a way that corresponds to the hit in the instruction cache. A second cache line is selected from a shadow cache using the predicted way and the first cache line and the second cache line are forwarded in the same clock cycle.

Abstract: A microprocessor implemented method for resolving dependencies for a load instruction in a load store queue (LSQ) is disclosed. The method comprises initiating a computation of a virtual address corresponding to the load instruction in a first clock cycle. It also comprises transmitting early calculated lower address bits of the virtual address to a load store queue (LSQ) in the same cycle as the initiating. Finally, it comprises performing a partial match in the LSQ responsive to and using the lower address bits to find a prior aliasing store, wherein the prior aliasing store stores to a same address as the load instruction.

Abstract: A method for preventing non-temporal entries from entering small critical structures is disclosed. The method comprises transferring a first entry from a higher level memory structure to an intermediate buffer. It further comprises determining a second entry to be evicted from the intermediate buffer and a corresponding value associated with the second entry. Subsequently, responsive to a determination that the second entry is frequently accessed, the method comprises installing the second entry into a lower level memory structure. Finally, the method comprises installing the first entry into a slot previously occupied by the second entry in the intermediate buffer.

Abstract: A method for preventing non-temporal entries from entering small critical structures is disclosed. The method comprises transferring a first entry from a higher level memory structure to an intermediate buffer. It further comprises determining a second entry to be evicted from the intermediate buffer and a corresponding value associated with the second entry. Subsequently, responsive to a determination that the second entry is frequently accessed, the method comprises installing the second entry into a lower level memory structure. Finally, the method comprises installing the first entry into a slot previously occupied by the second entry in the intermediate buffer.

Abstract: A method for predicting a way of a set associative shadow cache is disclosed. As a part of a method, a request to fetch a first far taken branch instruction of a first cache line from an instruction cache is received, and responsive to a hit in the instruction cache, a predicted way is selected from a way array using a way that corresponds to the hit in the instruction cache. A second cache line is selected from a shadow cache using the predicted way and the first cache line and the second cache line are forwarded in the same clock cycle.

Abstract: A method and system for identifying clinical trial sites is provided. The method includes receiving clinical trial data associated with a plurality of planned clinical trials. Portions of the clinical trial data are identified based on differing data sources. Relevant information is extracted from the portions. Socioeconomic data, demographics data, and epidemiological data are received and combined into a common format. Incorrect address data is corrected and the clinical trial data, socioeconomic data, demographics data, and epidemiological data are standardized. In response, an initial list is generated. The initial list includes associated principle investigators and clinical trial sites associated with planned clinical trials overlaid on the clinical trial data, the socioeconomic data, the demographics data, and the epidemiological data.

Abstract: Systems and methods for modeling functional magnetic resonance image datasets using a multivariate auto-regressive model which captures temporal dynamics in the data, and creates a reduced representation of the dataset representative of functional connectivity of voxels with respect to brain activity. Raw spatio-temporal data is processed using a multivariate auto-regressive model, wherein coefficients in the model with high weights are retained as indices that best describe the full spatio-temporal data. When there are a relatively small number of temporal samples of the data, sparse regression techniques are used to build the model. The model coefficients are used to perform data processing functions such as indexing, prediction, and classification.

Abstract: Systems and methods for processing image data are provided. A computer implemented method for processing image data, comprises gathering 4-D image data from a subject, extracting time series data, and spatial and degree data of each voxel of the subject, deriving at least one feature from the time series data, deriving at least one feature from the spatial and degree data, combining the at least one feature from the time series data, and the at least one feature from the spatial and degree data to generate combined data, and inputting the combined data to a classifier, wherein the classifier outputs a classification based on the combined data.

Abstract: Systems and methods for modeling functional magnetic resonance image datasets using a multivariate auto-regressive model which captures temporal dynamics in the data, and creates a reduced representation of the dataset representative of functional connectivity of voxels with respect to brain activity. Raw spatio-temporal data is processed using a multivariate auto-regressive model, wherein coefficients in the model with high weights are retained as indices that best describe the full spatio-temporal data. When there are a relatively small number of temporal samples of the data, sparse regression techniques are used to build the model. The model coefficients are used to perform data processing functions such as indexing, prediction, and classification.