Zenith Architect.
Cycle-accurate design space exploration (DSE) for heterogeneous compute tiles, vector extensions, and memory subsystems prior to physical RTL implementation.
Pre-Silicon Architectural Exploration Engine
Evaluate power, performance, and area tradeoffs across compute nodes, cache hierarchies, and interconnect fabrics in minutes.
Micro-Architecture DSE
Sweep pipeline depths, ALU lane configurations, register file ports, and branch predictors with automated PPA sensitivity graphs.
NoC & Memory Modeling
Simulate mesh, ring, and crossbar network-on-chip fabrics under realistic burst traffic to isolate contention and DDR/HBM bandwidth saturation.
Autonomous PPA Search
Multi-objective gradient optimization identifies the Pareto-optimal frontier between clock frequency, milliwatts, and silicon die area.
- · Days of manual setup and C++ model compilation
- · Single-threaded simulation speed bottlenecks
- · Difficult correlation with physical synthesis constraints
- · Manual parameter sweeps with limited Pareto coverage
- · Automated project structure and testbench generation
- · High-level Python/PyTorch workload ingestion directly
- · Direct correlation with RTL Architect & Accelane physical design
- · Instant PPA Pareto ranking across hundreds of design points
VERIFIED EFFICIENCY BENCHMARKS
Pre-Silicon Velocity & Market Advantage
Development Effort Reduction (%)
Time to Market Comparison (Months)
SYSTEM-LEVEL VERIFICATION
Architectural Exploration Capabilities
Transaction-Level Tracing
Compile PyTorch models and custom C++ workloads directly into intermediate representation DAGs with cycle-accurate memory traffic annotations.
- · Multi-scenario workload emulation
- · Real-time memory bus contention analysis
- · Cache hierarchy eviction characterization
Heterogeneous Partitioning
Autonomously balance compute tasks between host CPU cores, vector accelerators, and fixed-function systolic tiles with zero manual profiling.
- · Technology node comparison (28nm to 3nm)
- · Memory hierarchy bandwidth matching
- · Interconnect latency & packet loss bounds
Pre-RTL PPA Calibration
Correlate conceptual system models with downstream physical synthesis constraints to guarantee post-route frequency and milliwatt closure.
- · Pre-tapeout area & power estimation
- · Seamless handoff to RTL Architect
- · Automated Verilog testbench generation
EXPLORATION WORKBENCH
Architecture Exploration, Made Visual
Inspect key architectural trade-offs Zenith Architect resolves prior to RTL and physical implementation.
TARGET SCENARIOS
SYSTEM MODEL
RISC-V control + NPU + shared memory
Vision inference under a strict power budget
PARADIGM
Pre-RTL PPA Pareto Closure
EXPLORATION OBJECTIVE
Compare memory size, NPU shape, and clock targets before RTL
OPTIMIZED DECISION
Rank candidates by latency, power, and area
Zenith Architect in Action: Strategic Case Studies
Real-world applications demonstrating Zenith Architect's system-level intelligence, seamless integration capabilities, and unprecedented exploration speed across diverse architectural challenges.
Fortune 500 AI Accelerator: From Concept to Silicon in 3 Months
Challenge: A leading cloud provider needed to evaluate 50+ AI accelerator architectures for their next-generation inference platform, traditionally requiring 18+ months of analysis.
Zenith Architect Solution: Operating at the strategic abstraction level, Zenith Architect's predictive intelligence evaluated all architectural variants in just 3 weeks, identifying the optimal design through system-level foresight rather than implementation-heavy simulation.
Integration Speed
2 Days
From existing PyTorch models to architectural evaluation
Exploration Acceleration
25x Faster
Compared to traditional RTL-based approaches
Key Achievements
- • Seamless PyTorch model integration
- • 50+ architecture variants evaluated
- • 94% accuracy in performance prediction
- • Zero manual RTL coding required
- • Strategic design decisions in weeks
Strategic Impact
$15M saved in development costs, 12-month time-to-market advantage
Autonomous Vehicle SoC: Multi-Domain Architecture Optimization
Challenge: Tier-1 automotive supplier required a heterogeneous SoC combining RISC-V cores, AI accelerators, and safety-critical components with strict power and latency constraints.
Zenith Architect Solution: Leveraged system-level intelligence to orchestrate FORGE (RISC-V), FLASH (AI acceleration), and custom safety modules, achieving holistic optimization impossible with component-level tools.
Multi-Tool Integration
1 Week
FORGE + FLASH + Safety modules unified
Design Space Coverage
1000+
Architecture combinations evaluated
System-Level Optimization
- • Cross-domain workload balancing
- • Real-time safety constraint verification
- • Power-performance co-optimization
- • Thermal-aware architectural decisions
- • ISO 26262 compliance validation
Results
40% power reduction, 60% faster than manual design exploration
IoT Edge Processor: Python Algorithm to Custom Silicon
Challenge: IoT startup needed to transform their Python-based computer vision algorithms into ultra-low-power custom silicon for edge deployment, with severe area and power constraints.
Zenith Architect Solution: PHASE's Python-to-hardware synthesis, guided by Zenith's strategic intelligence, automatically generated optimized accelerator designs while maintaining algorithmic fidelity and meeting strict power budgets.
Development Speed
3 Weeks
From Python code to verified silicon design
Power Efficiency
85% Better
Than general-purpose alternatives
Seamless Integration
- • Direct Python algorithm import
- • Automated datapath optimization
- • Memory hierarchy auto-generation
- • Power-aware scheduling
- • Verification framework included
Business Impact
Product launch accelerated by 8 months, $5M funding secured
Hyperscale GPU Cluster: System-Level Performance Optimization
Challenge: Major cloud provider needed to optimize their next-generation GPU clusters for diverse AI workloads, requiring analysis of complex GPU-CPU-memory-network interactions at unprecedented scale.
Zenith Architect Solution: GLARE's GPU architectural intelligence combined with Zenith's system-level orchestration provided holistic cluster optimization, identifying bottlenecks and optimization opportunities across the entire system hierarchy.
System Complexity
10,000+
GPU nodes analyzed simultaneously
Throughput Improvement
35%
Cluster-wide performance optimization
Holistic Analysis
- • Inter-GPU communication optimization
- • Memory bandwidth utilization
- • Network topology impact analysis
- • Workload scheduling intelligence
- • Power distribution optimization
Strategic Value
$50M annual savings through optimized utilization
Why Zenith Architect Delivers Unprecedented Results
Seamless Integration
Direct integration with existing workflows, tools, and codebases. No learning curve, no migration complexity — just immediate strategic intelligence.
Exploration Velocity
10–25× faster than traditional approaches through strategic abstraction. Explore thousands of possibilities in days, not months.
Strategic Precision
System-level intelligence that transcends component optimization, delivering architectural decisions with strategic foresight.
ECOSYSTEM COMPATIBILITY
DragonX Toolchain Integration
Seamless Integration with Industry-Standard EDA Toolchains
DragonX tools integrate directly with Synopsys and Cadence signoff flows, bridging algorithmic exploration and silicon realization.
DragonX Toolchain Interoperability Pipeline
System-Level Modeling
RTL-Level PPA Estimation
Physical Planning
PARAMETRIC BUILDING BLOCKS
Pre-Verified Technology IP Library
Comprehensive IP Modules
DragonX provides parameterized hardware modules assembled into complete system models for rapid cycle-accurate evaluation.
Featured Subsystems
Processors
- · ARM Cores
- · RISC-V RV64
- · Custom NPU
Memory
- · L1/L2 Caches
- · HBM3 / DDR5
- · Scratchpads
Interconnect
- · AXI5 / CHI
- · 2D Mesh NoC
- · PCIe Gen5/6
Technology IP Synthesis Workflow
01. Select IP
Modular IP repository
02. Configure
Clock, bus & cache sizes
03. Connect
Automated NoC topology
04. Co-Simulate
Cycle-accurate PPA report