DRAGONX SYSTEMS
Accelerate Chip Design Decisions with AI-Powered Architecture Evaluation
70% faster architecture evaluation time
90% accuracy for both AI and traditional workloads
Reduce development costs by up to 60%
Our Impact
Development Improvements
Time to Market Comparison
Our Products
DragonX Performance Estimator
Fast and accurate performance estimation for chip designs. Evaluate your architecture decisions in minutes instead of months.
Key Features:
- • Rapid performance modeling
- • Power and area estimates
- • Support for AI and traditional workloads
- • Cloud-based simulation engine
DragonX Chip Designer
AI-powered chip design optimization platform. Automatically explore design spaces and find optimal configurations.
Key Features:
- • Automated design space exploration
- • Multi-objective optimization
- • Cost-performance trade-off analysis
- • Integration with major EDA tools
Comprehensive Solutions
Rapid Architecture Evaluation
Evaluate chip architectures 70% faster with our AI-powered platform. Support for both neural networks and traditional workloads.
- • Multi-scenario performance modeling
- • Power and area estimation
- • Workload-specific optimization
Intelligent Design Space Exploration
Automatically explore and evaluate thousands of design options to find the optimal solution for your requirements.
- • Technology node comparison
- • Memory hierarchy optimization
- • Cost-performance trade-offs
ROI-Focused Integration
Comprehensive system-level evaluation that helps reduce development costs and time-to-market.
- • Early-stage cost estimation
- • Time-to-market optimization
System Architecture
Framework Architecture
Symbolic Execution
Our integrated approach combines device-level parameters, advanced simulators, and system-level evaluation for comprehensive chip design optimization.
Latest from Our Blog
Accelerating Non-AI Workloads: Our Approach to Hardware Synthesis
Our hardware synthesis framework automatically generates optimized accelerator designs for non-AI workloads. By combining algorithm-specific optimizations with advanced scheduling techniques, we achieve dramatic performance improvements—like a 387× speedup for matrix multiplication using systolic arrays.
Building a Python to RISC-V Compiler and Simulator: Our Journey
At DragonX Systems, we've developed a powerful Python to RISC-V compiler and simulator that enables rapid architecture evaluation and performance estimation for chip designs. Our multi-layered compilation strategy parses Python code into an AST, analyzes computational patterns, compiles to RISC-V instructions, and provides detailed performance metrics across various technology nodes.
Introducing DragonX: Revolutionary AI-Powered Chip Design Tools
Announcing the launch of DragonX Systems with industry-leading 99% accuracy for transformer models and 97% for CNN architectures. Our AI-powered tools deliver unprecedented speed and precision in chip design optimization.
Developer Tools & Library Support
Python SDK & Libraries
pip install dragonx-optimizer==0.1.1Comprehensive Python libraries for:
- Workload analysis and profiling
- Neural network optimization
- Auto-tuning and parameter optimization
- Performance prediction and modeling
Compiler Optimizations (Coming Soon!)
dragonx-compile --target=accelerator --opt-level=3 workload.pyAdvanced compilation features:
- Hardware-specific code generation
- Automatic vectorization and parallelization
- Memory access pattern optimization
- Dynamic runtime adaptation
Quick Start Example
import dragonx_optimizer.src_main as dx
# Initialize optimizer with architecture config
optimizer = dx.initialize(arch_config="custom_accelerator.yaml")
# Analyze workload
graph = dx.analyze_workload(model)
# Optimize design for target metrics
optimized_config = dx.optimize_design(
graph,
target_metrics={
"latency": "minimal",
"power": "<5W"
}
)
# Get performance estimates
perf_stats = dx.estimate_performance(graph, optimized_config)Beyond Conventional Simulation
DragonX vs. Visual Sim: The Competitive Edge
Visual Sim Limitations
- • Limited to RTL-level simulation
- • Requires manual translation of algorithms
- • Long setup and configuration times
- • Focused primarily on processor designs
- • Complex workflow requiring hardware expertise
DragonX Advantages
- • Direct Python compilation to hardware description
- • High-level synthesis simulation for rapid prototyping
- • Cycle-accurate simulation for advanced GPU architectures, CPUs, and accelerators
- • Python and PyTorch compilation to custom hardware platforms
- • Support for both AI and traditional workloads
- • Automatic design space exploration
- • 70% faster architecture evaluation
Our Unique Capabilities
DragonX goes beyond conventional simulation tools by offering:
- • Python-to-hardware direct compilation pipeline
- • Automated hardware synthesis for non-AI workloads
- • Cycle-accurate simulation of complex architectures
- • PyTorch model compilation to custom hardware targets
- • Cross-architecture workload analysis
- • Detailed memory hierarchy optimization
- • Integrated system-level performance modeling
Workload Support Comparison
Workload Type
Visual Sim
DragonX
Deep Learning Models
Not Supported
Comprehensive
General Computing
Supported
Supported
Python Algorithm Acceleration
Not Supported
Full Support
Matrix Operations
Basic
Advanced Optimizations
Hardware Synthesis
Manual Only
Automated
PyTorch Model Acceleration
Not Supported
Full Support
GPU Architecture Simulation
Limited
Cycle-Accurate for Advanced Architectures
Technology IP Creation
Comprehensive IP Libraries
DragonX provides extensive libraries of hardware components that can be rapidly assembled into complete system models. Our Technology IPs are the backbone of our accelerated modeling approach, enabling complex designs to be constructed and evaluated in a fraction of the time.
Featured Technology IP Components
Processors
- • ARM Processors
- • RISC-V Cores
- • Other Processor Families
- • Custom Accelerators
Memory Systems
- • Cache Hierarchies
- • Memory Storage
- • DRAM/SRAM Models
- • Scratchpad Memory
Interfaces
- • AMBA Interface
- • System/Board Interfaces
- • Semiconductor Buses
- • DMA Controllers
DragonX Block Diagram Editor
Our intuitive block diagram editor seamlessly integrates with our Technology IP libraries.
Beyond Visual Sim's Approach
While Visual Sim offers basic IP components, DragonX extends this concept with:
- • Python-defined custom components that can be integrated directly
- • AI-optimized accelerator templates for rapid deployment
- • Automatic IP parameter tuning based on workload characteristics
Technology IP Integration Workflow
Select Components
Choose from our extensive IP library
Configure Parameters
Customize for your specific needs
Connect System
Visual assembly via block diagram
Simulate & Analyze
Rapid performance evaluation