Local Random Number Buffer for Hardware Thread Arbitration
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Solution Overview
Problem
Accessing and managing random numbers in processor execution cores is inefficient, leading to latency and thread starvation due to slow hardware-based random number generation and limited storage, especially when multiple hardware threads compete for these resources.
Innovation Solution
Implementing a local random number buffer with arbitration logic that dynamically allocates and manages random numbers, using a combination of dynamic and reserved pools, and employing wait queues to ensure fair resource usage and prevent starvation, allowing requests to be delayed rather than denied.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If random numbers are allocated to hardware threads on a first-come, first-serve basis, then allocation simplicity is improved, but thread starvation occurs and resource fairness deteriorates
Solution Approach 1:
The random number buffer is segmented into multiple dedicated buffers, with each buffer assigned to a specific hardware thread. This segmentation ensures that each thread has its own dedicated storage space for random numbers, preventing thread starvation while maintaining simple first-come, first-serve allocation within each thread's dedicated buffer.
2Adaptability or versatility
If a central random number generator is used for all execution cores, then resource sharing is improved, but access latency increases
Solution Approach 1:
The system segments the random number distribution into a central generator that provides numbers to multiple local buffers in different execution cores. Each core has its own local buffer, enabling parallel access and eliminating the latency bottleneck of a single centralized access path.
Solution Approach 2:
Local buffers act as intermediaries between the central random number generator and the hardware threads. These buffers receive random numbers from the central generator and store them locally, allowing threads to access random numbers without direct access to the remote generator, thereby reducing latency.
3Device complexity
If limited storage space for random numbers is used, then device complexity is reduced, but allocation efficiency deteriorates
Solution Approach 1:
The limited storage space is segmented into multiple dedicated buffers, with each buffer assigned to a specific hardware thread. This segmentation allows efficient allocation by ensuring each thread has dedicated space, preventing competition for limited resources, and maximizing utilization without requiring complex allocation algorithms.
Data Source
AI summary
Random numbers within a processor may be scarce, especially when multiple hardware threads are consuming them. A local random number buffer can be used by an execution core to better manage allocation and consumption of random numbers. The buffer may operate in a number of modes, and allow any hardware thread to use a random number under some conditions. In other conditions, only certain hardware threads may be allowed to consume a random number. The local random number buffer may have a dynamic pool of entries usable by any hardware thread, as well as reserved entries usable by only particular hardware threads. Further, a user-level instruction is disclosed that can be stored in a wait queue in response to a random number being unavailable, rather than having the instruction's request for a random number simply be denied. The random number buffer may also boost performance and reduce latency.