{"ID":2855379,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2510.16025","arxiv_id":"2510.16025","title":"Resource Estimation of CGGI and CKKS scheme workloads on FracTLcore Computing Fabric","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.","short_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 \"FracTLcor...","url_abs":"https://arxiv.org/abs/2510.16025","url_pdf":"https://arxiv.org/pdf/2510.16025v1","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\"]","published":"2025-10-15T19:12:22Z","proceeding":"cs.CR","tasks":"[\"cs.CR\"]","methods":"[]","has_code":false}