Resource Estimation of CGGI and CKKS scheme workloads on FracTLcore Computing Fabric

Denis Ovichinnikov; Hemant Kavadia; Satya Keerti Chand Kudupudi; Ilya Rempel; Vineet Chadha; Marty Franz; Paul Master; Craig Gentry; Darlene Kindler; Alberto Reyes; Muthu Annamalai

Resource Estimation of CGGI and CKKS scheme workloads on FracTLcore Computing Fabric

Cryptography and Security 2025-10-21 v1

Authors: Denis Ovichinnikov , Hemant Kavadia , Satya Keerti Chand Kudupudi , Ilya Rempel , Vineet Chadha , Marty Franz , Paul Master , Craig Gentry , Darlene Kindler , Alberto Reyes , Muthu Annamalai

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Abstract

Cornami Mx2 accelerates of Fully Homomorphic Encryption (FHE) applications, enabled by breakthrough work [1], which are otherwise compute limited. Our processor architecture is based on the systolic array of cores with in-memory compute capability and a network on chip (NoC) processor architecture called the "FracTLcore compute fabric processor" (Mx2). Here, we describe the work to estimate processor resources to compute workload in CGGI (TFHE-rs) or CKKS scheme during construction of our compiler backend for this architecture [2]. These processors are available for running applications in both the TFHE-rs Boolean scheme and CKKS scheme FHE applications.

Keywords

Fully Homomorphic Encryption FHE FracTLcore resource estimation compiler

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@article{arxiv.2510.16025,
  title  = {Resource Estimation of CGGI and CKKS scheme workloads on FracTLcore Computing Fabric},
  author = {Denis Ovichinnikov and Hemant Kavadia and Satya Keerti Chand Kudupudi and Ilya Rempel and Vineet Chadha and Marty Franz and Paul Master and Craig Gentry and Darlene Kindler and Alberto Reyes and Muthu Annamalai},
  journal= {arXiv preprint arXiv:2510.16025},
  year   = {2025}
}

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5 tables, 2 figures, conference style

Resource Estimation of CGGI and CKKS scheme workloads on FracTLcore Computing Fabric

Abstract

Keywords

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