Scheduling control step

First, the algoriflim starts wnth an initial control step schedule, for a fixed number of control steps. Then tiie cost is calculated, based on the cost of the functional units and their usage, the gradient direction of the cost is determined, and the schedule is modified to lower the cost. This process continues until the algorithm converges. 

Control step scheduling, MAHA s example, and a fifth-order digital elliptic wave filter example. 

Other control step schedulers, force-directed scheduling, force-directed list scheduling, a second-order differential equation example, a pipelined 16-point digital FIR filter example, and a fifth-order digital elliptic wave filter example. 

Organization of the Value Trace based synthesis system, parsing a Value Trace file to build a set of data structures, ASAP control step scheduling, a graphical Value Trace display, and Value Trace metrics. 

The CSTEP control step scheduler uses list scheduling on a block-by-block basis, with timing constraint evaluation as the priority function. Operations are scheduled into control steps one basic block at a time, with the blocks scheduled in executidepth-first traversal of the control flow graph. For each basic block, data ready operator are considered for placement into the current control step, using a priority function that reflects whether or not that placement will violate timing constraints. Resource limits may be applied to limit the number of operators of a particular type in any one control step. 

Other linking systems, linking values and operators in the GDB (ISPS parse tree), the Value Trace, the allocated hardware, and the control step schedule. 

Overview of the system, transformations, control step scheduling, architectural partitioning, synthesis using... 

Behavioral specification with interfaces, synthesis with interfaces, control step scheduling, the Intel 8251, a Multibus example, a protocol adapter example, and a block transfer example. 

Control step scheduling, data path synthesis, a small example, and a Chel shev approximator example. 

First, a control step schedule with the minimum number of control steps is generated, using one of the schedulers above. Then the execution paths in each control step are traversed, and the area required for the data operations is estimated. Finally, the path / control step with the largest area is selected for splitting, and is split into two control steps so that the areas of the two subpaths is approximately equal. By continuing this process, an area-time tradeoff curve can be generated. 

Preliminary description of data path synthesis and control step scheduling... 

Applies transformations to the control step schedule to remove dummy states, and allocates control registers, interface logic, and a finite state machine to build the controller. Optimizations are then applied to reduce the. size of the finite state machine, and to simplify the wiring between the controller and the data path. 

Scheduling, pipelining a non-pipelined design by partitioning the control step schedule into phases while adding the minimum amount of new hardware, and a code sequence example. 

Since these components are not state machines, control step scheduling is not applicable. Since all variables must be stored in registers, register merging is not applicable. Since there is only a single state , functional units are not shared between states. However, functional units can be shared between conditional branches, and expressions can be reduced. 

The user can also modify the control step schedule, shifting operations, inserting or deleting control steps, and compressing sequences of control steps. 

Using RLEXT to incrementally repair the control step schedule after it has been manually modified by the user. 

The DSL language, mapping onto a data flow graph, data path synthesis, control step scheduling, a decoder example, a priority encoder example, and the MC6800iO. 

First, an ASAP schedule is constructed, assuming infinite resources, and one cycle per operation. Then optimizations are applied, moving operations to other control steps to reduce the maximum number of operations of each type in any one control step, and grouping operations into functional units so as to have a minimum number of functional units. Uien the scheduler traverses the control step schedule, passing the operations in each control step to the data path allocator. The data path allocator tries to bind those operations using heuristics if it fails, the scheduler tries to delay operations until later control steps, and if that also fails, the user is notified that the resource constraints should be increased. 

The Control Step Scheduler (CSTEP) schedules the behavioral operations into control steps, determining the parallelism of the design. It considers the structural partitions suggested by the Architectural Partitioning tool as well as timing and resource constraints specified by the designer. 

Register-Transfer Level Synthesis includes two phases, control step scheduling and data path allocation and binding. 

To schedule operations in different processes so as to cause the SENDs and RECVs to execute in lockstep, the control step scheduler must consider not only the control steps in each process ( local scheduling), but the relationship between the control steps of all processes ( global scheduling). To achieve this lockstep execution, it may be necessary to insert delays into the control step schedule. This is shown in Figure 3-15, where a NO.OP (no operation) was inserted into the control step schedule of process Y to force the RECV to be executed at the same time as the corresponding SEND in process X. 

It is assumed that the pipestages will execute in lockstep, and all data transfers between the pipestages will occur at the same time. This assumption may be enforced either through control step scheduling, through added hardware or microcode, or by some other method. 

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