Reconfigurable Processor Routing With Operation Graph Bandwidth Estimation
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Solution Overview
Problem
Traditional compilers struggle to optimize the execution of highly-parallel applications on reconfigurable processors like CGRAs, as they lack the ability to accurately estimate the cost of implementing applications during placement and routing, leading to inefficient utilization of hardware resources.
Innovation Solution
A cost estimation tool is developed to estimate the realized bandwidth consumption of logical edges between producer and consumer units in operation unit graphs during placement and routing on reconfigurable processors, guiding the compiler to optimize hardware resource allocation and synchronization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If traditional compilers are used for placement and routing on reconfigurable processors, then the compilation process is simple, but the hardware resource utilization is inefficient
Solution Approach 1:
The cost estimation tool performs preliminary analysis during the compilation phase to predict bandwidth consumption and resource utilization before actual placement and routing. This allows the compiler to make informed decisions about resource allocation, operator placement, and dataflow optimization, thereby improving hardware resource utilization without complicating the compilation process.
Solution Approach 2:
The system implements feedback mechanisms where cost estimation results from bandwidth consumption analysis are fed back into the compilation process. This feedback loop enables iterative optimization of placement and routing decisions, allowing the compiler to adjust resource allocation and dataflow patterns based on predicted performance metrics, thus resolving the contradiction between simplicity and efficiency.
2Productivity
If cost estimation is performed during placement and routing, then hardware resource utilization is optimized, but the compilation complexity increases
Solution Approach 1:
The cost estimation tool serves as an intermediary component between the compiler and the placement/routing processes. It provides automated bandwidth consumption analysis and cost prediction, acting as a mediator that translates high-level operation unit graphs into informed placement decisions. This intermediary approach optimizes hardware resource utilization while encapsulating the complexity within the estimation tool itself, preventing excessive complexity from propagating to the overall compilation system.
Solution Approach 2:
The cost estimation tool performs self-service by automatically analyzing bandwidth requirements and generating cost predictions without requiring manual intervention or complex user configuration. This automation reduces the perceived compilation complexity for users while still providing sophisticated resource optimization, as the tool independently handles the complex analysis and integrates results back into the compilation flow.
3Loss of time
If bandwidth consumption is not estimated, then the compilation process is fast, but the synchronization and resource allocation are inefficient
Solution Approach 1:
The cost estimation tool implements partial action by focusing bandwidth consumption analysis on critical paths and dataflow bottlenecks rather than performing exhaustive analysis on all operations. This selective estimation approach provides sufficient information for effective synchronization and resource allocation decisions while maintaining reasonable compilation speeds, thus balancing the trade-off between analysis depth and compilation time.
Solution Approach 2:
The system dynamically adjusts estimation parameters and analysis depth based on the specific characteristics of the operation unit graph and target hardware architecture. By changing parameters such as estimation granularity, analysis scope, and prediction accuracy levels, the system can optimize the balance between compilation time and synchronization efficiency for different application scenarios, providing reliable resource allocation without excessive compilation overhead.
Data Source
AI summary
A system with a cost estimation tool for estimating a realized bandwidth consumption of a logical edge between a logical producer unit and a logical consumer unit of an operation unit graph during placement and routing of the logical producer unit, the logical consumer unit, and the logical edge onto a reconfigurable processor is presented as well as a method of operating such a cost estimation tool and a non-transitory computer-readable storage medium including instructions that, when executed by a processing unit, cause the processing unit to operate such a cost estimation tool The cost estimation tool may be configured to determine the realized bandwidth consumption of the tentative assignment based on an upper bandwidth limit of the logical edge, an end-to-end bandwidth, a scaling factor of a realized bandwidth, and a congestion estimation of the physical link.