Redundant Parallel Computing Cache for GPU SIMT Efficiency
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Solution Overview
Problem
Current graphics processing units (GPUs) face challenges in efficiently processing graphics data due to limitations in parallel processing capabilities, particularly in SIMT architectures, which can lead to inefficiencies in executing program instructions synchronously.
Innovation Solution
Implementing redundant parallel computing structures as a cache within GPUs to enhance parallel processing capabilities, allowing for improved execution of graphics data operations and increased efficiency in SIMT architectures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If redundant parallel computing structures are implemented as cache, then processing efficiency is improved, but device complexity increases
Solution Approach 1:
The patent applies multi-functionality by enabling computing structures to serve dual purposes: performing computational operations and functioning as cache memory. The compute elements can dynamically switch between executing instructions and storing data, eliminating the need for separate dedicated cache structures and reducing overall device complexity while maintaining improved processing efficiency.
Solution Approach 2:
The patent implements dynamic reconfigurability where computing structures can adapt their function based on operational needs. The compute elements transition between active computation mode and cache storage mode, allowing the system to optimize performance for different workload types while managing complexity through flexible, context-dependent resource allocation.
2Power
If parallel processing capabilities are enhanced, then computational performance is improved, but synchronization inefficiencies worsen
Solution Approach 1:
The patent divides the parallel processing system into independently controllable compute elements that can operate with reduced synchronization requirements. By segmenting the computational workload across multiple elements that can function as both processors and storage, the system achieves high computational performance while minimizing synchronization overhead through localized data access and reduced inter-element communication needs.
Data Source
AI summary
An apparatus to facilitate redundant parallel computing structures as a cache is disclosed. The apparatus includes redundant parallel computing hardware circuitry comprising redundant sets of computing combinatorial logic and register-based storage circuitry; and crossbar fabric connected to the registers of the redundant parallel computing hardware circuitry, wherein the crossbar fabric to cause register state of the register-based storage circuitry to be selected based on a tagged cache model.