Synchronous Microthreading Hardware for Data-Parallel Workloads
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Solution Overview
Problem
Modern out-of-order processors often have idle functional units, limiting the ability to exploit hardware parallelism in workloads, especially in data-parallel applications with irregular control and data flow, due to overheads in existing GPGPU architectures and spatial accelerators which are not programmer-friendly and lack essential components for efficient parallel code acceleration.
Innovation Solution
Synchronous Microthreading (SyMT) is a hardware/software technique that accelerates data-parallel applications by allowing fine-grained parallelism without exposing vector width to programmers, decoupling it from architecture, and enabling multiple vector-width implementations, handling regular and irregular control and data flow, and supporting low-latency offload mechanisms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If GPGPU architectures are used for data-parallel applications, then parallel processing capability is improved, but overhead and complexity increase making them not programmer-friendly
Solution Approach 1:
The patent introduces a microthreading layer as an intermediary between the programmer and the underlying parallel hardware architecture. This microthreading abstraction provides a simplified programming model while leveraging the parallel processing capabilities of the hardware, thus reducing the complexity burden on programmers while maintaining high productivity.
Solution Approach 2:
The microthreading architecture is designed to be universal and can be implemented across different hardware platforms including CPUs and coprocessors. This multi-functionality allows the same programming model to exploit parallelism in various data-parallel applications without requiring architecture-specific optimizations, reducing overhead while maintaining productivity.
2Speed
If spatial accelerators are used for parallel code acceleration, then processing speed is improved, but they lack essential components and are not programmer-friendly
Solution Approach 1:
The microthreading abstraction serves as an intermediary layer that provides essential components for efficient parallel code execution while maintaining programmer-friendliness. It handles the complexity of managing multiple execution contexts and resource allocation, allowing programmers to write parallel code without directly dealing with the complex details of spatial accelerator management.
Solution Approach 2:
The patent segments the parallel execution model into manageable microthreads with well-defined entry and exit points. This segmentation allows programmers to work with fine-grained parallelism in a controlled manner, making the system easier to operate while achieving high execution speeds through efficient utilization of spatial accelerator components.
3Productivity
If fine-grained parallelism is exposed to programmers, then parallel processing efficiency is improved, but complexity and overhead increase
Solution Approach 1:
The microthreading layer acts as an intermediary that manages fine-grained parallelism internally while presenting a simplified interface to programmers. It handles the complexity of creating, scheduling, and synchronizing numerous fine-grained parallel tasks, thereby improving parallel processing efficiency without exposing the full complexity to programmers.
Solution Approach 2:
The microthreading system dynamically manages parallel execution contexts, allocating and deallocating microthreads as needed based on workload requirements. This dynamic approach allows the system to achieve high parallel processing efficiency by adapting to different computational patterns while maintaining low overhead through efficient resource reuse and management.
Data Source
AI summary
Techniques for synchronous microthreaded execution are described. An example includes a logical processor to execute one or more threads in a first mode; and a synchronous microthreading (SyMT) co-processor coupled to the logical processor to execute lightweight microthreads, with each lightweight microthread having an independent register state, upon an execution of an instruction to enter into SyMT mode.