Distinct-Path Counterexample Generation for Hardware Verification
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Solution Overview
Problem
Current graphics data processing systems face limitations in efficiently handling diverse operations due to fixed function computational units and the need for improved parallel processing techniques, particularly in SIMT architectures.
Innovation Solution
Implementing a graphics processing unit (GPU) with dedicated circuitry for processing commands and instructions, including support for general-purpose graphics processing unit (GPGPU) functions, and utilizing heterogeneous cores for enhanced parallel processing capabilities, such as tensor and ray tracing cores, to handle various graphics and compute operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If fixed function computational units are used in graphics processors, then specific graphics operations can be performed reliably, but the system lacks flexibility to handle diverse operations
Solution Approach 1:
The patent implements a unified execution engine that can dynamically configure and execute multiple types of operations including vertex processing, fragment processing, compute shaders, and ray tracing. This single multi-functional unit replaces traditional separate fixed-function units, allowing the graphics processor to handle diverse operations without requiring separate dedicated hardware for each function type.
2Productivity
If traditional parallel processing techniques are used in SIMT architectures, then processing efficiency is maintained, but the system cannot effectively handle thread divergence and complex control flows
Solution Approach 1:
The execution engine implements dynamic thread management capabilities that allow threads to be created, joined, synchronized, and controlled at runtime. The system can dynamically adjust thread execution based on control flow patterns, handle branch divergence through warp-level operations, and manage thread lifecycles independently for each thread group, enabling complex control flows while maintaining parallel efficiency.
3Speed
If heterogeneous cores are implemented for specialized operations, then specific tasks like tensor and ray tracing are accelerated, but device complexity increases
Solution Approach 1:
The patent combines specialized functional units (tensor cores, ray tracing cores) with the general-purpose execution engine into an integrated architecture. These specialized units share common resources such as memory interfaces, register files, and control logic with the main execution engine, allowing them to operate as accelerated components rather than completely separate systems. This merging approach provides speedup for specialized operations while avoiding the full complexity of entirely independent processor units.
Data Source
AI summary
An apparatus to facilitate distinct paths counterexamples and stimuli generation is disclosed. The apparatus includes processing circuitry to: generate a graph representation structure from a data flow of a hardware design; for each leaf node of the graph representation structure, generate a cover property that is to provide a set of space constraints of the graph representation structure and to query whether a verification property is satisfied by the hardware design having the set of space constraints applied, wherein the set of space constraints define a path through the graph representation structure from a root node to the leaf node; execute, as a single run of a verification tool, a set of cover properties comprising the cover property for each of the leaf nodes; and report results of execution of the set of cover properties as a set of counterexamples for the hardware design.