Abstract: Embodiments herein use control application programming interfaces (APIs) to control the execution of a dataflow graph in a heterogeneous processing system. That is, embodiments herein describe a programming model along with associated APIs and methods that can control, interact, and at least partially reconfigure a user application (e.g., the dataflow graph) executing on the heterogeneous processing system through a local executing control program. Using the control APIs, users can manipulate such remotely executing graphs directly as local objects and perform control operations on them (e.g., for loading and initializing the graphs; dynamically adjusting parameters for adaptive control; monitoring application parameters, system states and events; scheduling operations to read and write data across the distributed memory boundary of the platform; controlling the execution life-cycle of a subsystem; and partially reconfiguring the computing resources for a new subsystem).

Abstract: Embodiments herein use control application programming interfaces (APIs) to control the execution of a dataflow graph in a heterogeneous processing system. That is, embodiments herein describe a programming model along with associated APIs and methods that can control, interact, and at least partially reconfigure a user application (e.g., the dataflow graph) executing on the heterogeneous processing system through a local executing control program. Using the control APIs, users can manipulate such remotely executing graphs directly as local objects and perform control operations on them (e.g., for loading and initializing the graphs; dynamically adjusting parameters for adaptive control; monitoring application parameters, system states and events; scheduling operations to read and write data across the distributed memory boundary of the platform; controlling the execution life-cycle of a subsystem; and partially reconfiguring the computing resources for a new subsystem).

Abstract: Embodiments herein use control application programming interfaces (APIs) to control the execution of a dataflow graph in a heterogeneous processing system. That is, embodiments herein describe a programming model along with associated APIs and methods that can control, interact, and at least partially reconfigure a user application (e.g., the dataflow graph) executing on the heterogeneous processing system through a local executing control program. Using the control APIs, users can manipulate such remotely executing graphs directly as local objects and perform control operations on them (e.g., for loading and initializing the graphs; dynamically adjusting parameters for adaptive control; monitoring application parameters, system states and events; scheduling operations to read and write data across the distributed memory boundary of the platform; controlling the execution life-cycle of a subsystem; and partially reconfiguring the computing resources for a new subsystem).

Abstract: Examples herein describe techniques for generating dataflow graphs using source code for defining kernels and communication links between those kernels. In one embodiment, the graph is formed using nodes (e.g., kernels) which are communicatively coupled by edges (e.g., the communication links between the kernels). A compiler converts the source code into a bit stream and/or binary code which configure a heterogeneous processing system of a SoC to execute the graph. The compiler uses the graph expressed in source code to determine where to assign the kernels in the heterogeneous processing system. Further, the compiler can select the specific communication techniques to establish the communication links between the kernels and whether synchronization should be used in a communication link. Thus, the programmer can express the dataflow graph at a high-level (using source code) without understanding about how the operator graph is implemented using the heterogeneous hardware in the SoC.

Abstract: Embodiments herein use control application programming interfaces (APIs) to control the execution of a dataflow graph in a heterogeneous processing system. That is, embodiments herein describe a programming model along with associated APIs and methods that can control, interact, and at least partially reconfigure a user application (e.g., the dataflow graph) executing on the heterogeneous processing system through a local executing control program. Using the control APIs, users can manipulate such remotely executing graphs directly as local objects and perform control operations on them (e.g., for loading and initializing the graphs; dynamically adjusting parameters for adaptive control; monitoring application parameters, system states and events; scheduling operations to read and write data across the distributed memory boundary of the platform; controlling the execution life-cycle of a subsystem; and partially reconfiguring the computing resources for a new subsystem).

Abstract: A computer system provides fast evaluation of predicates and Boolean expressions with a set of operations for determining a value in a specified register from a plurality of inputs. The execution of each operation is defined by two functions of the operation's inputs: a result function which yields a result value, and an enable function which determines whether the result value is written to the specified register. To evaluate a Boolean expression with the operations, the register is preset to a Boolean value, e.g. one for an AND reduction, zero for an OR reduction. The operations can then write a Boolean value, e.g. zero for an AND reduction, one for an OR reduction, to the register if each operation's enable function evaluates true. The register then stores the correct value of the expression. The expression's value can be used as predicates to conditionally execute operations in a program.

Abstract: A technique for flexible scheduling of a code sequence wherein a set of instructions for determining a a fully-resolved predicate for each of a set of non-speculative instructions contained in the code sequence is generated. An optimized code sequence is then generated that includes the instructions for determining the fully resolved predicates and that further includes the non-speculative instructions each guarded by one of the fully resolved predicates such that any one of the non-speculative instructions may be executed before any other of the non-speculative instructions.

Abstract: A compiler technique for reducing the number of executed branches in a code sequence. Multiple condition branch instructions in a program sequence are replaced with a single combined conditional branch instruction thereby eliminating the time-consuming execution of multiple branch instructions by a target processor.

Abstract: An improved computer architecture and instruction set that reduces the delays produced by branch instructions. The invention utilizes a branch processor having a branch memory for storing information specifying a plurality of branch instructions that are contained in a code sequence. The branch memory stores information specifying the target address of each branch instruction and the location of the branch instruction with respect to the beginning of the code sequence. The branch processor receives the results of the various comparisons that determine if the conditions associated with the various branches stored in the branch memory are satisfied. The branch processor preferably stores the identity of the branch that is closed to the beginning of the code sequence for which the condition associated therewith has been satisfied. This branch will be referred to as the highest branch enabled.