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Related Concept Videos

Phasor Arithmetics01:13

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Phasors and their corresponding sinusoids are interrelated, offering unique insights into the behavior of alternating current (AC) circuits. One way to understand this relationship is through the operations of differentiation and integration in both the time and phasor domains.
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The brain processes sensory information rapidly due to parallel processing, which involves sending data across multiple neural pathways at the same time. This method allows the brain to manage various sensory qualities, such as shapes, colors, movements, and locations, all concurrently. For instance, when observing a forest landscape, the brain simultaneously processes the movement of leaves, the shapes of trees, the depth between them, and the various shades of green. This enables a quick and...
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A clamper circuit, also known as a DC restorer, represents a specialized variant of the rectifier circuit, notable for its method of taking the output across the diode rather than the capacitor. This configuration lends to several distinctive applications, particularly in handling square wave inputs.
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A parallel-plate capacitor with capacitance C, whose plates have area A and separation distance d, is connected to a resistor R and a battery of voltage V. The current starts to flow at t = 0. What is the displacement current between the capacitor plates at time t? From the properties of the capacitor, what is the corresponding real current?
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DARTPHROG: A Superscalar Homomorphic Accelerator.

Alexander Magyari1, Yuhua Chen1

  • 1Department of Electrical and Computer Engineering, University of Houston, Houston, TX 77204, USA.

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|August 28, 2025
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Summary
This summary is machine-generated.

Fully Homomorphic Encryption (FHE) is accelerated by DARTPHROG, a novel superscalar architecture. This system achieves significant speedups for FHE operations, enhancing data security without compromising privacy.

Keywords:
BGVCKKSPQCfully homomorphic encryptionmodular reductionpost quantum cryptographysecurity

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Area of Science:

  • Computer Science
  • Cryptography
  • Hardware Architecture

Background:

  • Fully Homomorphic Encryption (FHE) enables secure data sharing with external servers, addressing data breach and privacy concerns.
  • Current FHE implementations suffer from significant performance limitations compared to conventional cryptography.

Purpose of the Study:

  • To introduce DARTPHROG (Dynamic AcceleRaTor for Parallel Homomorphic pROGrams), a novel architecture designed to accelerate FHE operations.
  • To evaluate the performance and efficiency of DARTPHROG, particularly its superscalar capabilities and novel Hardware Optimized Modular-Reduction (HOM-R) system.

Main Methods:

  • Designed DARTPHROG, a superscalar architecture enabling parallel execution of homomorphic operations.
  • Integrated the Hardware Optimized Modular-Reduction (HOM-R) system, comparing its efficiency against Barrett and Montgomery reduction.
  • Implemented an assembler, a THUMB-based instruction set, and a homomorphic processor on an FPGA.
  • Conducted superscalar evaluation of homomorphic operations excluding the Number Theoretic Transform (NTT).

Main Results:

  • Achieved speedups of up to 1860x for primitive FHE operations (addition, subtraction, multiplication) through parallel execution.
  • DARTPHROG operates at a low power consumption of 40.5 W, positioning it as a compact FHE acceleration architecture.
  • Demonstrated the efficiency of the HOM-R system compared to traditional reduction methods.

Conclusions:

  • DARTPHROG offers a significant advancement in FHE acceleration through its superscalar design and efficient hardware components.
  • The architecture provides a valuable baseline for evaluating the impact of NTT in FHE systems.
  • Presents a pathway towards more practical and performant FHE implementations for enhanced data security.