Abstract: An API (Application Programming Interface) for an adaptive computing system (ACS) may be used to create a system for performing an application on different types of ACS platforms. The API may be used to generate a system object including a host and a number of nodes and channels. A system data structure is created which describes the nodes, which may be FPGA (Field Programmable Gate Array)-based ACS accelerator boards. The API may enable source-code porting and scaling from small research platforms to larger field-deployable platforms.

Abstract: An API (Application Programming Interface) for an adaptive computing system (ACS) may be used to create a system for performing an application on different types of ACS platforms. The API may be used to generate a system object including a host and a number of nodes and channels. A system data structure is created which describes the nodes, which may be FPGA (Field Programmable Gate Array)-based ACS accelerator boards. The API may enable source-code porting and scaling from small research platforms to larger field-deployable platforms.

Abstract: An API (Application Programming Interface) for an adaptive computing system (ACS) may be used to create a system for performing an application on different types of ACS platforms. The API may be used to generate a system object including a host and a number of nodes and channels. A system data structure is created which describes the nodes, which may be FPGA (Field Programmable Gate Array)-based ACS accelerator boards. The API may enable source-code porting and scaling from small research platforms to larger field-deployable platforms.

Abstract: An API (Application Programming Interface) for an adaptive computing system (ACS) may be used to create a system for performing an application on different types of ACS platforms. The API may be used to generate a system object including a host and a number of nodes and channels. A system data structure is created which describes the nodes, which may be FPGA (Field Programmable Gate Array)-based ACS accelerator boards. The API may enable source-code porting and scaling from small research platforms to larger field-deployable platforms.

Abstract: An API (Application Programming Interface) for an adaptive computing system (ACS) may be used to create a system for performing an application on different types of ACS platforms. The API may be used to generate a system object including a host and a number of nodes and channels. A system data structure is created which describes the nodes, which may be FPGA (Field Programmable Gate Array)-based ACS accelerator boards. The API may enable source-code porting and scaling from small research platforms to larger field-deployable platforms.

Abstract: An API (Application Programming Interface) for an adaptive computing system (ACS) may be used to create a system for performing an application on different types of ACS platforms. The API may be used to generate a system object including a host and a number of nodes and channels. A system data structure is created which describes the nodes, which may be FPGA (Field Programmable Gate Array)-based ACS accelerator boards. The API may enable source-code porting and scaling from small research platforms to larger field-deployable platforms.

Abstract: An apparatus and method for ascertaining states of a telephone line. A communication device, such as a modem, is coupled to a telephone line that also has other communication device or devices coupled to the line. The state of the line is determined before the modem goes off-hook. An energy level of a capacitor that is coupled to the telephone line is ascertained by a data pump of the modem. Should the energy level of the capacitor exceed a threshold, then the telephone line is in use and the modem does not go off-hook. If the energy level is at or below the threshold level, then the modem goes off-hook. In another implementation, an energy profile is established for the other communication devices when they transition from an on hook state to an off hook state and vise versa. The energy profile can be detected by the data pump to ascertain the state of the telephone line or the state of the communication device.

Abstract: Sales activity of a product at sales outlets including sales outlets at which sales activity data is sampled and unsampled sales outlets is estimated by determining the distances between each of the sampled sales outlets and each of the unsampled sales outlets and correlating sales activity data from the sampled sales outlets according to the determined distances. The sales activity volume of the product at the plurality of sampled outlets and the estimated sales activity volume of the product at the unsampled outlets are combined to obtain an estimate of sales activity for all the sales outlets. Sales activity of products prescribed by a physician at both the sampled and unsampled outlets can be estimated by correlating sales activity data for the prescribing physician at the sampled outlets according to the distances between the sampled outlets and the unsampled outlets.