# NVIDIA at DAC 2026

July 26–29 | Long Beach, California | Long Beach Convention Center

[Register Now](https://63dac.conference-program.com/presentation/?id=ST101&sess=sess181&linkId=100000427990426)

Join NVIDIA at the Design Automation Conference (DAC) 2026 to discover how AI supercomputing meets EDA to reshape the future of chip and system design. Topics span agentic AI for EDA to GPU-accelerated workloads and physical AI—experience it all at the welcome address, panels, technical sessions, and presentations on the latest research.

## Welcome Address by Tim Costa of NVIDIA

Accelerated computing and AI are converging with EDA—shrinking design cycles, amplifying human creativity, and powering the chips and systems that define what's next.

Sunday, July 26 | 5–5:45 p.m. PT  | Mtg Room 104B

**Tim Costa,** VP and GM Industrial and Computational Engineering, NVIDIA

[Welcome Address Details](https://dac.com/2026/ai-supercomputing-meets-eda-accelerating-the-future-of-chip-and-system-design)

## Explore NVIDIA Sessions at DAC 2026

1. Sunday, July 26
2. Monday, July 27
3. Tuesday, July 28
4. Wednesday, July 29

4:30–5 p.m. PT

### NVIDIA Welcome Reception

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5–5:45 p.m. PT

### [NVIDIA Welcome Address](https://63dac.conference-program.com/presentation/?id=ST101&sess=sess181)

Tim Costa, VP and GM Industrial and Computational Engineering, NVIDIA

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11:15 a.m.–12 p.m. PT

### [From Tools to Agents: Realizing Fully Autonomous EDA Workflows](https://63dac.conference-program.com/?post_type=page&p=16&id=TT101&sess=sess186)

Amit Gupta, Senior Vice President and General Manager, Siemens EDA   
 Da Yang, Senior Director of Product, Semiconductor and EDA, NVIDIA

---

11:10–11:23 a.m. PT

### [TOPCELL: Topology Optimization of Standard Cell via LLMs](https://63dac.conference-program.com/presentation/?id=RESEARCH2646&sess=sess167)

Haoxing Ren, NVIDIA

---

2:08–2:21 p.m. PT

### [Autonomous Evolution of EDA Tools: Multi-Agent Self-Evolved ABC](https://63dac.conference-program.com/presentation/?id=RESEARCH1784&sess=sess168)

Haoxing Ren, NVIDIA

---

2:47–3 p.m. PT

### [Schemacoder: Automatic Log Schema Extraction Coder with Residual Q-Tree Boosting](https://63dac.conference-program.com/presentation/?id=RESEARCH1841&sess=sess168)

Chia-tung Ho, NVIDIA  
 RONGJIAN LIANG, NVIDIA  
 Haoxing Ren, NVIDIA

---

2:47–3 p.m. PT

### [Galaxydit: Efficient Video Generation with Guidance Alignment and Adaptive Proxy in Diffusion Transformers](https://63dac.conference-program.com/presentation/?id=RESEARCH999&sess=sess124)

Steve Dai, NVIDIA  
 Ben Keller, NVIDIA  
 Brucek Khailany, NVIDIA

---

3:30–4 p.m. PT

### [Advances in AI-Driven Hardware Code Generation: Insights from the Comprehensive Verilog Design Problems Benchmark](https://63dac.conference-program.com/presentation/?id=SSSN105&sess=sess251)

Nathaniel Pinckney, NVIDIA

---

4–5 p.m. PT

### [Agentic AI in EDA: Who’s in Control?](https://63dac.conference-program.com/presentation/?id=AM109&sess=sess208)

Natesan Venkateswaran, Program Director, EDA Analysis, IBM Research  
 Ivan Kissiov, Principal Engineer, Siemens  
 Lindsey Kostas, Senior Staff Machine Learning Engineer, Qualcomm  
 Srinivas Bodapati, Senior Director Design Enablement, Samsung  
 Da Yang, Senior Director of Product, Semiconductor and EDA, NVIDIA

---

5–6 p.m. PT

### [Handling Timing Loops Across Non-Resettable Flops in a Synchronous Resets Design: An Innovative Technique](https://63dac.conference-program.com/presentation/?id=ENGPOST079&sess=sess264)

Rohit Kumar Sinha, NVIDIA

---

11:15–11:30 p.m. PT

### [Multi-Level Intelligent Waveform Orchestration: Specification-Aware Framework for Eliminating Storage-Debug Tradeoffs](https://63dac.conference-program.com/presentation/?id=ENGPRES325&sess=sess267)

Vinoth Selvan, NVIDIA

---

4–4:45 p.m. PT

### [Is EDA AI Delivering on Its ROI Promise?](https://63dac.conference-program.com/presentation/?id=PAV104&sess=sess220)

Kenneth Dryer, Microsoft  
 Ram Narayan, ARM  
 Dinesh Jayabharathi, Broadcom  
 Neil Ashton, Distinguished Engineer & Product Architect for CAE, NVIDIA

---

4–4:30 p.m. PT

### [Role of HW-Based Tools Like Emulation and Prototyping in Semiconductor Design Methodology](https://63dac.conference-program.com/presentation/?id=ENGINV101&sess=sess294)

Narendra Konda, NVIDIA

---

5–6 p.m. PT

### [First-Time-Right Power Analysis: Data-Driven Test Selection Through Real-Time Validation of Clocks, Gating and Traffic-Dependent Metrics](https://63dac.conference-program.com/presentation/?id=ENGPOST326&sess=sess295)

Vinoth Selvan, NVIDIA

---

2:19–2:25 p.m. PT

### [Sigma Profiling: Profiling Solution for Power Integrity Signoff](https://63dac.conference-program.com/presentation/?id=ENGPOST471&sess=sess224)

Girish Deshpande, NVIDIA  
 Anusha Vemuri, NVIDIA  
 Vishal Malik, NVIDIA  
 Emmanuel Chao, NVIDIA  
 Santosh Santosh, NVIDIA

---

## Featured Speakers from NVIDIA

### Tim Costa

VP and GM Industrial and Computational Engineering, NVIDIA

[NVIDIA Welcome Address](https://63dac.conference-program.com/presentation/?id=ST101&sess=sess181)

### Da Yang

Senior Director of Product, Semiconductor and EDA, NVIDIA

[Agentic AI in EDA: Who’s in Control?](https://63dac.conference-program.com/presentation/?id=AM109&sess=sess208)

### Neil Ashton

Distinguished Engineer & Product Architect for CAE, NVIDIA

[Is EDA AI Delivering on Its ROI Promise?](https://63dac.conference-program.com/presentation/?id=PAV104&sess=sess220)

![Cadence Chip Verification Details](https://www.nvidia.com/content/dam/en-zz/nvidiaweb/events/dac/cadence-chip-verification-nvidia-openshell-thumbnail-1920x1080.jpg)

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### Cadence Cuts Chip Verification From Weeks to Hours With AI Engineers and NVIDIA OpenShell

See how [‪Cadence Design Systems‬](https://www.youtube.com/@cadencedesignsystems) and NVIDIA are transforming chip design verification with autonomous AI agents. In this demo, an engineer directs Cadence ChipStack to launch a secure RTL verification loop powered by NVIDIA Nemotron™ and secured by NVIDIA OpenShell™.

[Watch Now (01:54)](https://www.youtube.com/watch?v=k0Rgc3ZH5Co)

## Related Semiconductor News

### NVIDIA and TSMC Bring AI Into Fabs to Advance Semiconductor Design and Manufacturing

The world’s leading semiconductor company, TSMC, is using NVIDIA accelerated computing and AI to advance semiconductor design and manufacturing.

[Read Press Release](https://nvidianews.nvidia.com/news/nvidia-and-tsmc-bring-ai-into-fabs-to-advance-semiconductor-design-and-manufacturing)

### Semiconductor Industry Accelerates Design Manufacturing With NVIDIA Blackwell and CUDA-X

TSMC, Cadence, KLA, Siemens, and Synopsys are advancing semiconductor manufacturing by adopting the NVIDIA CUDA-X™ and NVIDIA Blackwell platforms.

[Read Blog](https://blogs.nvidia.com/blog/semiconductor-industry-electronic-design-automation-blackwell-cuda-x/)

## NVIDIA Partner Ecosystem

## FAQs

### What is the Design Automation Conference (DAC)?

The Design Automation Conference (DAC) is the premier global event dedicated to the design and design automation of electronic circuits and systems. It serves as a central hub for researchers, designers, tool developers, and practitioners to showcase cutting-edge advancements in EDA, AI hardware, and system architecture.

* Learn more about the event's mission as the premier [Chips to Systems Conference](https://en.wikipedia.org/wiki/Design_Automation_Conference).

### When and where is DAC 2026 taking place?

* DAC 2026 will be held in Long Beach, California, at the Long Beach Convention Center, running from July 26 through July 29, 2026.
* View the official event location and dates on the [DAC 2026 Event Page](https://dac.exhibitprospectus.com/).

### What is NVIDIA’s primary focus at DAC 2026?

* NVIDIA is positioning itself at the intersection of AI supercomputing and EDA (Electronic Design Automation). The focus is on reshaping the future of chip and system design through agentic AI, GPU-accelerated workflows, and physical AI, providing thought leadership on how accelerated computing can shrink design cycles.
* Join NVIDIA to explore [AI supercomputing meets EDA](https://dac.com/2026/ai-supercomputing-meets-eda-accelerating-the-future-of-chip-and-system-design).

### Who are the key NVIDIA speakers at DAC 2026?

* Featured speakers include Tim Costa, VP and GM of Industrial and Computational Engineering; Da Yang, Senior Director of Product for Semiconductor and EDA; and Neil Ashton, Distinguished Engineer and Product Architect for CAE.
* Review the featured speakers and their presentation topics on the NVIDIA DAC 2026 landing page.

### What is the NVIDIA Welcome Address about?

* The Welcome Address, delivered by Tim Costa, focuses on how accelerated computing and AI are converging with EDA to amplify human creativity and power the next generation of chips and systems. It outlines the strategic vision for the semiconductor industry in the era of AI.
* Learn more about the [NVIDIA Welcome Address details](https://dac.com/2026/ai-supercomputing-meets-eda-accelerating-the-future-of-chip-and-system-design).

### How can I register for DAC 2026?

You can register for the conference via the official DAC website. Early registration is recommended to ensure access to all panels, workshops, and the exhibit floor.

* Access the registration portal through the official [DAC 2026 website](https://dac.com/2026/registration).

Want to hear what else we have in store at DAC? Sign up to get notified each time we update this page with speakers, schedules, demos, and more.

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