Purpose-Built for Secure, Scalable, Real-Time Computing
Modern workloads demand real-time performance, massive scalability, and uncompromised data privacy. The FracTLcore® Compute Fabric delivers on all three — with a fundamentally new execution model that leaves behind legacy limitations and positions Cornami at the heart of tomorrow’s computing paradigm.
The FracTLcore® Compute Fabric is the foundation of Cornami’s breakthrough architecture. Designed for massive parallelism and fine-grained concurrency, it breaks from legacy compute bottlenecks by enabling streaming execution, native security, and true edge-to-cloud scalability — all without compromising performance, programmability, or power efficiency.
FracTLcore® Reconfigurable, Scalable Compute Fabric
Reconfigurable Compute Fabric
All cores are surrounded by SRAM and interconnected by a high-speed network. Compute Fabric has penalty free linearly scaling across multiple chips, boards, and systems to increase core counts. This is transparent to the TruStream® Programming Model (TSPM).
Software Defined Cores
On-chips systems are created using FracTLcores® under software control to dynamically reconfigure based on needed functions, for example:
FracTLcores®
Dynamically reconfigurable and independently programmable cores (each has its own scheduler) are under software control to optimize performance within application programs.
TruStream®
Software and programming environment supports all 55 Berkeley patterns for parallelism. Verified on numerous multi-core processors. Large existing library of application software including Fully Homomorphic Encryption (FHE) and Privacy Preserving Machine Learning (PPML).
Architected for Performance and Core Independence
The FracTLcore® Compute Fabric is built on a “share-nothing” architecture t eliminating contention and coordination delays that exist in current processor designs that share resources.. This lets each compute core operate independently, unlocking deterministic performance while supporting maximum concurrency.
- Share-Nothing Architecture – Avoids shared memory, locks, and threads. Each core executes autonomously, enabling predictable performance at scale.
- Asynchronous Operation – No global clocks or blocking. Processing elements execute when ready, reducing idle time and improving throughput.
- Universal Parallel Model Support – Executes SIMD, MIMD, pipelined, systolic, and dataflow patterns natively — not just simulated in software.
Streaming by Design
Unlike traditional architectures that move data in and out of memory-bound stages, the FracTLcore® Compute Fabric enables continuous streaming execution, reducing latency and powering real-time responsiveness.
- Pipeline-First Execution – Data streams continuously through compute stages, avoiding load/store penalties and enabling ultra-low-latency performance.
- Flow Control Built In – Backpressure-aware stages adjust throughput dynamically, maintaining smooth execution and avoiding stalls.
- Throughput-Optimized Fabric – Thousands to millions of compute elements can process parallel streams simultaneously — ideal for high-bandwidth, real-time workloads.
Scale Without Code Changes or Bottlenecks
The FracTLcore® Compute Fabric scales linearly and predictably — from thousands to millions of cores — with no dependency on hardware topology, shared buses, or memory arbitration.
- Linear Scalability – As more FracTLcores are added, performance scales without hitting resource bottlenecks or requiring architecture redesign.
- Orthogonal Application Mapping – Developers don’t need to understand core layouts or scheduling — the TruStream® Programming Model maps workloads onto the fabric transparently.
- Modular Expansion – From embedded edge systems to full data centers, the FracTLcore® Compute Fabric enables consistent performance regardless of deployment footprint.
Secure Compute, Natively Supported
Security isn’t a layer added on top — it’s built in. The FracTLcore® Compute Fabric natively supports encrypted computing, enabling privacy-preserving workloads like Fully Homomorphic Encryption (FHE) and Privacy-Preserving Machine Learning (PPML) to run efficiently in real time.
- Fully Homomorphic Encryption (FHE) – Run computations directly on encrypted data. No decryption needed — no data exposure.
- Privacy-Preserving ML (PPML) – Secure AI model training and inference without revealing sensitive datasets.
Developer-Ready and Ecosystem Friendly
The FracTLcore® Compute Fabric is not just hardware — it’s a full-stack execution environment supported by familiar programming models, APIs, and toolchains for fast adoption and productive development.
- Powered by TruStream® – All programming is done via the TruStream® Programming Model, which eliminates low-level complexity and exposes full performance.
- SCIFR API™ – The Secure Computing Interface Framework enables seamless integration of conventional apps into the high-performance FracTLcore® Compute Fabric.
- Edge-to-Cloud Portability – TruStream® code runs on all FracTLcore® Compute Fabric deployments, with tuning handled by the system — not the developer.