Parallel MakeHint Hardware for Low-Latency Lattice Cryptography

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Solution Overview

Problem

Lattice-based cryptosystems face efficiency and performance challenges in implementing hint-related functions due to resource-intensive decompose operations and increased latency in hardware execution, particularly in quantum-resistant cryptographic systems.

Innovation Solution

An optimized MakeHint unit with a parallel implementation and resource-sharing architecture that reduces hardware resource utilization and latency by using fewer decompose operations, embedding hint sum and bitpack logic, and integrating resource sharing strategies for keygen, signing, and verifying operations.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If traditional decompose operations are used in MakeHint unit, then cryptographic security is maintained, but hardware resource consumption increases and latency increases

Engineering Contradiction:

Improvecryptographic securityVSAvoidhardware resource consumption

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The patent segments the MakeHint unit into multiple parallel instances (first MakeHint unit and second MakeHint unit) that operate simultaneously on different data. This segmentation allows the system to maintain cryptographic security through proper hint generation while reducing hardware resource consumption by distributing the computational load across parallel units rather than using a single complex decompose operation.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The patent introduces dynamic resource sharing between the first and second MakeHint units, where resources are allocated and reallocated based on operational needs. This dynamic approach allows the system to maintain security requirements while optimizing hardware resource utilization, reducing overall device complexity compared to static traditional implementations.

Inventive Principle:

Principle #15Dynamics

2Reliability

If traditional decompose operations are used in MakeHint unit, then cryptographic security is maintained, but execution latency increases

Engineering Contradiction:

Improvecryptographic securityVSAvoidexecution latency

Core Design Contradiction:

ReliabilityVSLoss of time

Solution Approach 1:

By dividing the MakeHint operation into parallel units that process data simultaneously, the patent reduces execution latency while maintaining cryptographic security. The parallel architecture allows multiple hints to be generated in parallel time steps rather than sequentially, directly addressing the latency issue.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The patent ensures continuous useful action by having the first and second MakeHint units operate simultaneously and continuously generate hints without idle waiting periods. This continuous parallel processing eliminates the sequential bottlenecks that cause latency in traditional implementations.

Inventive Principle:

Principle #20Continuity of useful action

3Measurement precision

If multiple decompose operations are used, then hint generation is accurate, but hardware resources are over-utilized

Engineering Contradiction:

Improvehint generation accuracyVSAvoidhardware resource utilization

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The patent implements resource sharing between the first and second MakeHint units, allowing hardware resources to serve multiple functions. The same computational resources are utilized by both units through time-division or space-division multiplexing, achieving accurate hint generation without over-utilizing hardware resources.

Inventive Principle:

Principle #6Universality (Multi-functionality)

Solution Approach 2:

The patent optimizes hardware resource utilization by dynamically adjusting operational parameters such as data width, precision levels, and resource allocation ratios. This allows the system to maintain hint generation accuracy while reducing overall hardware resource consumption compared to traditional approaches that use fixed, resource-intensive decompose operations.

Inventive Principle:

Principle #35Parameter changes

Data Source

PatentUS20260039466A1Optimizing makehint on a hardware platform

Publication Date: 2026.02.05 MICROSOFT TECHNOLOGY LICENSING LLC

AI summary

A lattice-based cryptographic engine includes a MakeHint unit to generate hints for polynomial coefficients. Logic hardware is coupled to the MakeHint unit and includes a hint sum unit configured to add hints for coefficients of a polynomial, compare a hint sum to a threshold, and generate an invalid signal in response to the hint sum exceeding the threshold. The logic hardware also includes a sample buffer configured to receive the hints, a hint bitpack coupled to store indices of non-zero hints, and a controller coupled to control transfer of hints to output registers.