Heterogeneous Program Offloading for Data Transfer Penalty Reduction
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Solution Overview
Problem
Heterogeneous systems face challenges in optimizing data transfer and execution due to scarce I/O bandwidth, leading to suboptimal performance and energy consumption, particularly in managing data location and transfer between host and accelerator components.
Innovation Solution
An offload analyzer and memory operation selector are employed to automate the analysis of program performance on heterogeneous architectures, optimizing data location and transfer decisions across the entire program, using scalable polynomial-time analysis routines to identify optimal execution strategies and reduce data transfer penalties.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If data is frequently transferred between host and accelerator components, then program execution speed is improved, but I/O bandwidth is consumed and energy consumption increases
Solution Approach 1:
The system performs preliminary analysis of the program to identify data transfer opportunities and pre-determines optimal transfer timing. The offload analyzer examines program characteristics beforehand to plan data movement strategies, avoiding unnecessary transfers and reducing energy consumption while maintaining execution speed.
Solution Approach 2:
The system dynamically adjusts data transfer parameters such as transfer size, timing, and frequency based on program characteristics and system state. By changing these parameters adaptively, the system optimizes the balance between execution speed and energy consumption for different computational workloads.
2Productivity
If manual optimization of data transfer is performed, then data transfer efficiency is improved, but system complexity and time consumption increase
Solution Approach 1:
The system implements automated analysis routines that independently examine program characteristics and generate optimization strategies without requiring manual intervention. The offload analyzer automatically identifies data transfer opportunities and determines optimal strategies, eliminating the time and complexity associated with manual optimization while maintaining high data transfer efficiency.
3Productivity
If comprehensive program analysis is performed to optimize data transfer, then execution performance is improved, but analysis time and computational overhead increase
Solution Approach 1:
The system performs partial analysis focused on identifying the most significant data transfer opportunities rather than exhaustive analysis of all program aspects. By concentrating on critical data movement patterns and high-impact optimization areas, the system achieves substantial performance improvement with minimal analysis overhead.
Data Source
AI summary
Methods, apparatus, systems, and articles of manufacture are disclosed for improving data transfer for heterogeneous programs. An example apparatus includes instructions in the apparatus, and processor circuitry to at least one of execute or instantiate the instructions to determine a runtime associated with executing a code object by a heterogeneous electronic device based on at least one of a location of a memory object or a data transfer penalty, the data transfer penalty associated with access of the memory object in response to execution of the code object, identify a memory operation for the memory object based on the runtime, and generate an executable file based on the memory operation, the executable file, when executed, to cause execution of the code object by at least one of first hardware or second hardware of the heterogeneous electronic device based on the memory operation.