Tiled Programmable Accelerator for Irregular Data Operations
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Solution Overview
Problem
Existing accelerators are highly specialized and inefficient for data-dependent, irregular, and memory-bound operations due to unpredictable computational loads and complex memory access patterns, leading to performance bottlenecks and inefficient resource utilization.
Innovation Solution
A programmable accelerator with a tiled processor architecture, including vector cores and a cross-lane processing unit, that can dynamically adapt to data-dependent and memory-bound operations through scatter-gather engines and cooperative prefetching, enabling flexible and efficient execution of irregular computations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If accelerators are designed to be highly specialized for specific operations, then acceleration performance for those operations is improved, but the ability to handle data-dependent and irregular operations deteriorates
Solution Approach 1:
The patent implements a hybrid accelerator architecture that combines specialized functional units for common operations with a programmable processing element that can dynamically adapt to handle data-dependent and irregular operations. This multi-functional design allows the same hardware to efficiently process both regular accelerated operations and irregular operations that require dynamic decision-making, resolving the contradiction between specialization and adaptability.
Solution Approach 2:
The patent introduces dynamic reconfiguration capabilities where the accelerator can adjust its operational mode and resource allocation based on the characteristics of the input data and operation type. The system dynamically switches between predetermined acceleration paths for regular operations and programmable execution paths for irregular operations, maintaining high performance across diverse workloads without requiring separate specialized hardware for each operation type.
2Adaptability or versatility
If accelerators are designed to cover all types of operations, then operational versatility is improved, but device complexity and fabrication difficulty increase
Solution Approach 1:
The patent divides the accelerator into distinct segments: specialized functional units for common operations and a programmable processing element for irregular operations. This segmentation allows each component to be optimized independently, with the specialized units handling predictable workloads efficiently and the programmable unit handling irregular operations, thereby achieving broad operational coverage without proportionally increasing overall system complexity.
Solution Approach 2:
The patent introduces a control unit that acts as an intermediary between the specialized functional units and the programmable processing element. This mediator manages task distribution, data flow, and resource allocation, coordinating between the different operational modes and simplifying the overall system architecture by providing a unified interface for handling diverse operations without requiring complex direct integration between all components.
3Productivity
If predetermined accelerator designs are used for regular operations, then acceleration efficiency is improved, but performance on irregular operations with varying computational loads deteriorates
Solution Approach 1:
The patent implements dynamic resource allocation and operational mode switching that allows the accelerator to adapt its behavior based on the computational characteristics of the input data. For regular operations with predictable computational loads, the system uses predetermined acceleration paths for high efficiency. For irregular operations with varying computational loads, the programmable processing element dynamically adjusts resource allocation and execution strategies, maintaining ease of operation across diverse workload conditions.
Data Source
AI summary
Aspects of the disclosure provide for an accelerator capable of accelerating data dependent, irregular, and/or memory-bound operations. An accelerator as described herein includes a programmable engine for efficiently executing computations on-chip that are dynamic, irregular, and/or memory-bound, in conjunction with a co-processor configured to accelerate operations that are predictable in computational load and behavior on the co-processor during design and fabrication.