MatLogica | Scalable Cloud Approach

Scalable Cloud Approach

Secure, Scalable Cloud Execution for Risk Calculations

Offload critical calculations to the cloud without exposing proprietary models or data. Deploy encrypted binary kernels that leverage AVX2/AVX512 vectorization and multi-core parallelism for optimal performance.

Cloud Scalability Without Security Compromise

With MatLogica's AADC, you don't risk exposing proprietary analytics or data to the cloud. You deploy only the computational graph in encrypted binary form—impossible to reverse engineer.

The Security-Performance Solution

Our binary kernels represent raw elementary calculations of your original program. The kernels leverage modern CPU AVX2/AVX512 instructions for optimal performance, effectively utilizing multithreading and vectorization.

Three-Layer Security Model

  1. On-Premises: Proprietary models and sensitive data stay protected
  2. Encrypted Kernels: Only binary computational graphs deployed to cloud
  3. Reverse Engineering: Nearly impossible to extract original algorithms

Result: You don't have to think twice about confidentiality while enjoying scalability that is hard to achieve using traditional software development methods.

Key Benefits

  • Up to 99% cloud cost reduction through efficient kernel execution
  • Full AAD capabilities for automatic sensitivity calculation
  • AVX2/AVX512 vectorization for maximum CPU utilization
  • Multi-core scaling without code modification
  • Data sovereignty maintained - compliance-friendly architecture

Encrypted Cloud Deployment

Ship only encrypted binary computational graphs to the cloud, leaving your proprietary models, algorithms, and sensitive data secure on-premises. Nearly impossible to reverse engineer.

Up to 99% Cost Reduction

Dramatically reduce your cloud bill by introducing MatLogica's efficient binary kernels and optimal software scalability through AVX2/AVX512 vectorization and multi-core utilization.

Accelerated Models with AAD

Speed up repetitive calculations 20-50x and compute all analytical sensitivities automatically using AAD—all while maintaining security in cloud environments.

Why Cloud-Native AAD Changes the Game

Security Architecture

  • Binary-only deployment: Source code never leaves premises
  • Encrypted kernels: Computational graphs in binary form
  • Data isolation: Sensitive data remains on-premises
  • Compliance-ready: Meets regulatory requirements for data sovereignty
  • Audit trail: Track what computation runs where

Performance Optimization

  • AVX2/AVX512: 8-16 operations per CPU cycle
  • Multi-core: Automatic parallelization without code changes
  • Memory efficient: Optimized kernel footprint
  • Cache-friendly: Minimal memory bandwidth usage
  • Hardware-specific: Optimized for target CPU architecture

Cost Efficiency

  • Up to 99% reduction: Dramatically lower cloud compute bills
  • Fewer instances needed: Each instance does more work
  • Shorter runtime: Pay for less compute time
  • Efficient scaling: Scale horizontally without overhead
  • Pay-per-use: Only pay for actual computation

Operational Benefits

  • No Docker overhead: Native binary execution
  • Instant deployment: Serialize and ship kernels
  • Version control: Kernel versioning and rollback
  • A/B testing: Deploy multiple kernel versions
  • Monitoring: Built-in performance metrics

Cloud Deployment Scenarios

1. Hybrid Cloud Live Risk

Challenge: Need real-time risk but can't move models to cloud

Solution: Keep models on-premises, deploy binary kernels to cloud for computation

Result: Sub-second portfolio Greeks with complete data sovereignty

2. Burst Compute for Stress Testing

Challenge: Need massive compute for quarterly stress tests but not daily

Solution: Deploy kernels to elastic cloud resources for stress runs

Result: Run 10,000 scenarios in minutes, pay only for burst compute

3. Multi-Region Pricing Services

Challenge: Serve pricing globally with low latency, protect IP

Solution: Deploy encrypted kernels to regional cloud endpoints

Result: <50ms latency worldwide, models never exposed

4. Third-Party Risk as a Service

Challenge: Offer risk calculations to clients without exposing models

Solution: Client-specific kernels deployed to isolated cloud instances

Result: New revenue stream, complete model protection

Technical Implementation

How Binary Kernels Work

  1. Record Phase: AADC captures computational graph during single execution
  2. Optimization: Graph optimized and compiled to native binary
  3. Serialization: Binary kernel serialized for cloud deployment
  4. Deployment: Kernel sent to cloud instances (no source code)
  5. Execution: Process market data updates, return prices + Greeks

Vectorization Advantage

AVX2 (256-bit): Process 4 double-precision or 8 single-precision numbers simultaneously

AVX512 (512-bit): Process 8 double-precision or 16 single-precision numbers simultaneously

Impact: 8-16x more throughput per CPU cycle compared to scalar operations

Multi-Core Scaling

Binary kernels are thread-safe by design, enabling:

  • Linear scaling to available cores
  • No locks or synchronization overhead
  • Process multiple scenarios in parallel
  • Ideal for cloud instances with many cores

Cloud Cost Comparison Example

Scenario: Portfolio risk calculation for 10,000 instruments, 1,000 scenarios

Approach Compute Time Instances Needed Monthly Cost
Traditional (always-on) 10 minutes per run 100 × c5.xlarge ~$15,000
Traditional (on-demand) 10 minutes per run 100 × c5.xlarge (spin-up time) ~$3,000 + latency
AADC Kernels 30 seconds per run 5 × c5.xlarge ~$150

Savings: 99% reduction vs always-on, 95% reduction vs on-demand (plus no latency)

Ready to Reduce Your Cloud Costs by 99%?

Let us analyze your cloud compute costs and show you the potential savings

Schedule Cloud Cost Analysis

info@matlogica.com

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