Packed Data Operation Mask Concatenation for SIMD Throughput
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Solution Overview
Problem
Current processors with SIMD architectures face limitations in efficiently executing packed data operation masks, particularly in concatenating and manipulating these masks to optimize packed data operations, which affects instruction throughput and code density.
Innovation Solution
The introduction of packed data operation mask concatenation instructions and processors capable of executing these instructions, allowing for the concatenation of two or more packed data operation masks and manipulation of mask registers to control packed data processing at a per-data element granularity, enhancing instruction throughput and code density.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If packed data operation masks are concatenated and manipulated at per-data element granularity, then instruction throughput and code density are improved, but device complexity increases
Solution Approach 1:
The processor divides the packed data operation mask into multiple separate masks, each corresponding to different data elements. This segmentation allows independent manipulation and concatenation of individual masks at per-data element granularity, enabling fine-grained control over packed data operations while improving instruction throughput through parallel mask operations.
Solution Approach 2:
The patent introduces a new dimension of mask manipulation by enabling concatenation operations across multiple mask registers. This allows masks to be combined horizontally across different register boundaries, creating extended mask patterns that control packed data operations across multiple data element sets simultaneously, thereby improving code density and throughput.
2Productivity
If packed data operation masks are concatenated and manipulated at per-data element granularity, then code density is improved, but device complexity increases
Solution Approach 1:
The processor merges multiple packed data operation masks from different registers through concatenation operations. By combining masks horizontally across register boundaries, the system creates comprehensive mask patterns that control multiple packed data operations simultaneously, improving code density by reducing the number of separate mask manipulation instructions needed.
Solution Approach 2:
The mask concatenation and manipulation instructions provide multi-functional capability, allowing the same instruction set to handle various mask operations including concatenation, selection, and per-element manipulation. This universal approach improves code density by enabling complex mask patterns to be created using a limited set of versatile instructions rather than requiring specialized instructions for each operation type.
Data Source
AI summary
A method of an aspect includes receiving a packed data operation mask concatenation instruction. The packed data operation mask concatenation instruction indicates a first source having a first packed data operation mask, indicates a second source having a second packed data operation mask, and indicates a destination. A result is stored in the destination in response to the packed data operation mask concatenation instruction. The result includes the first packed data operation mask concatenated with the second packed data operation mask. Other methods, apparatus, systems, and instructions are disclosed.