DRAGONX SYSTEMS
Accelerate Chip Design Decisions with AI-Powered Architecture Evaluation
70% faster architecture evaluation time
10x faster system evaluation time, comprising of CPUs, GPUs, Accelerators and Networking
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
FLASH
Fast and Lightweight Search of Hardware-Software Co-Design for Deep Learning Workloads. An extension of DRAGON that optimizes both hardware and software simultaneously.
Key Features:
- • Design space exploration of AI chips with support for direct compilation of Pytorch models as workloads
- • Lightweight hardware-software co-optimization
- • Rapid evaluation of design alternatives
- • Automated parameter tuning
PHASE
Python-based HLS for Automated Silicon Exploration. Convert Python code directly to optimized hardware designs with our revolutionary high-level synthesis tool.
Key Features:
- • Direct Python-to-hardware synthesis
- • Automated design space exploration
- • Built-in optimization for area and power
- • Integrated verification framework
FORGE
Flexible Open RISC-V Simulation and Evaluation. Our comprehensive RISC-V simulator enables rapid architecture exploration, performance analysis, and optimization.
Key Features:
- • Full RISC-V ISA support with extensions
- • Cycle-accurate performance modeling
- • Customizable microarchitecture parameters
- • Integrated workload analysis tools
GLARE
GPU Architectural Simulator. A powerful system for simulating and optimizing GPU architectures across multiple workloads and configurations.
Key Features:
- • Comprehensive GPU architecture simulation
- • Memory hierarchy and cache modeling
- • Shader core performance analysis
- • Support for modern graphics and compute APIs
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
Our comprehensive system architecture seamlessly integrates workload analysis, performance estimation, design space optimization, and hardware synthesis to deliver high-performance computing solutions for both AI and traditional workloads. The DragonX platform enables rapid architecture evaluation and system-level 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)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.
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