Timing accuracy), such as cycle-accurate at transaction boundaries (CATB), approximately-timed and loosely-timed modeling. In addition, our HLS objects allow for various levels of simulation abstraction (or Our HLS-oriented concept features a predefined library of HLS modules, user threads with implicit timing specification andĪ set of TLM 2.0 compatible interfaces. Based upon the results of our analysis, we propose a new concept – SystemC Synthesizable Superset –Ī solution that combines advantages of both approaches (ANSI C/C++ and SystemC), but does not inherit their disadvantages. The complexity of today’s SoC designs makes High-Level Synthesis (HLS) an important part of modern designįlows.In this paper, we analyze two basic approaches to HLS user input that exist today – sequential ANSI C/C++ and SystemC The latest achievements in this area are mostly due to wide SystemC adoption and the recent introduction of the (CAD) tools that allow early hardware and software co-development, hardware and software performance evaluation and fast system-level This creates demand for system level Computer-Aided-Design Today’s System-on-a-Chip (SoC) designs are becoming more and more complex. Hence the ability to stop a thread executing midway will save those clock cycles. A scenario in which a certain thread needs to be canceled, it can only be done if the thread is not already in progress, which will lead to wasted clock cycles. In the current design, a thread has 3 status registers to indicate whether it’s in progress, pending, next. A large Filter task is divided into multiple threads. Once it does the intended functionality, It is profiled to see the improvement in performance. An improvement is chosen and implemented. Exploring different potential improvements in design and then weighing the outcome gain vs effort to add the functionality is done. Simulation of the existing design gives an idea of the current data flow and architecture. An improvement in this said hardware will directly boost the performance of all use-cases. A regular Digital Signal Processor (DSP) may also be employed to do the same but it will never come close to the performance of dedicated hardware. Implementation of the adaptive filter in hardware allows it to have higher speed (Consumes lesser number of clock cycles) and hence also saving on power. Adaptive filters can adjust their weights using cost functions similar to a neural network. An adaptive filter (AF) is a digital filter that has a transfer function that changes based on changes in the surroundings.
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December 2022
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