Reconfigurable Processor Cores With JIT FIFO Queues for Low-Latency Workloads
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Solution Overview
Problem
Modern data centers face challenges in efficiently managing and optimizing the processing power distribution across processor cores to minimize latency and enhance performance, particularly in distributed edge computing environments.
Innovation Solution
The implementation of software-configurable processor devices with just-in-time first-in-first-out (JIT FIFO) queues and intelligent routing hardware allows for dynamic reconfiguration of processor cores to function as various types, such as CPUs, GPUs, TPUs, and accelerators, optimizing workload distribution and enhancing processing efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If processor cores are dynamically reconfigured to function as different types (CPU, GPU, TPU, accelerator), then workload distribution and processing efficiency are optimized, but device complexity and reconfiguration overhead increase
Solution Approach 1:
The processor cores are designed to be dynamically reconfigurable between different operational modes (CPU, GPU, TPU, accelerator) based on workload requirements. This dynamic capability allows the system to optimize processing efficiency for different task types while managing complexity through controlled reconfiguration mechanisms rather than static dedicated hardware for each processor type.
Solution Approach 2:
The processor device implements universal cores that can perform multiple functions by switching between different operational modes. A single core can function as a CPU for general-purpose computing, a GPU for parallel processing, a TPU for tensor operations, or an accelerator for specialized tasks, eliminating the need for separate dedicated hardware for each processor type and reducing overall device complexity.
2Productivity
If cores are specifically configured to handle specific workloads, then processing efficiency and determinism are improved, but adaptability to changing workload requirements decreases
Solution Approach 1:
The system implements dynamic reconfiguration capability that allows cores to switch between specialized configurations based on current workload demands. This enables the system to maintain high processing efficiency for specific task types while adapting to changing requirements over time, resolving the contradiction between specialization and adaptability.
Solution Approach 2:
The processor cores utilize parameter changes to transition between different operational modes. By modifying configuration parameters and operational settings, the same physical core can be optimized for different task types (CPU, GPU, TPU, accelerator), maintaining efficiency while enabling adaptability to diverse and changing workload requirements.
3Productivity
If JIT FIFO queues and intelligent routing hardware are implemented, then data processing efficiency is improved, but device complexity and power consumption increase
Solution Approach 1:
The JIT (Just-In-Time) FIFO queues implement preliminary action by pre-positioning data in optimized queue structures before processing begins. This allows data to be staged and organized in advance according to the specific processing requirements, improving data processing efficiency by eliminating runtime optimization overhead while the intelligent routing hardware directs data flows efficiently to reduce unnecessary power consumption.
Data Source
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AI summary
A software-configurable processor device includes a plurality of processor cores with respective storage elements configurable to implement one or more first-in-first-out (FIFO) queues or level one (L1) cache blocks for respective processor cores in the plurality. Configuration hardware is provided to configure a first storage element associated with a first processor core in the set of processor cores to implement a set of FIFO queues in the first storage element for the first processor core based on a configuration definition for the processor device.