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Main Authors: Ovichinnikov, Denis, Kavadia, Hemant, Kudupudi, Satya Keerti Chand, Rempel, Ilya, Chadha, Vineet, Franz, Marty, Master, Paul, Gentry, Craig, Kindler, Darlene, Reyes, Alberto, Annamalai, Muthu
Format: Preprint
Published: 2025
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Online Access:https://arxiv.org/abs/2510.16025
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author Ovichinnikov, Denis
Kavadia, Hemant
Kudupudi, Satya Keerti Chand
Rempel, Ilya
Chadha, Vineet
Franz, Marty
Master, Paul
Gentry, Craig
Kindler, Darlene
Reyes, Alberto
Annamalai, Muthu
author_facet Ovichinnikov, Denis
Kavadia, Hemant
Kudupudi, Satya Keerti Chand
Rempel, Ilya
Chadha, Vineet
Franz, Marty
Master, Paul
Gentry, Craig
Kindler, Darlene
Reyes, Alberto
Annamalai, Muthu
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2510_16025
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Resource Estimation of CGGI and CKKS scheme workloads on FracTLcore Computing Fabric
Ovichinnikov, Denis
Kavadia, Hemant
Kudupudi, Satya Keerti Chand
Rempel, Ilya
Chadha, Vineet
Franz, Marty
Master, Paul
Gentry, Craig
Kindler, Darlene
Reyes, Alberto
Annamalai, Muthu
Cryptography and Security
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.
title Resource Estimation of CGGI and CKKS scheme workloads on FracTLcore Computing Fabric
topic Cryptography and Security
url https://arxiv.org/abs/2510.16025