Agenda:In-Person Event

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Join the 2026 TSMC Open Innovation Platform Ecosystem Forum and learn from OIP partners how to leverage their technology for your design challenges!

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Date: Wednesday, September 23, 2026

Time Plenary Session
08:30 - 09:30 Registration & Ecosystem Pavilion
09:30 - 09:40 Welcome Remarks
09:40 - 10:00 TSMC Keynote Ⅰ
10:00 - 10:30 Guest Speech
10:30 - 11:00 TSMC Keynote ⅠⅠ
11:00 – 11:30 Coffee Break & Ecosystem Pavilion
TSMC Technical Sessions
11:30 – 12:00 TSMC Talk: Synergizing TSMC Angstrom-Scale Technology and AI Computing: Accelerating Silicon and Design Cycle

TSMC

TSMC Talk: Taming AI System Design Complexity: Methodology Innovations for Next-Generation 3DIC

TSMC

TSMC Talk: Scaling AI with Leadership Silicon and Cohesive System Optimization

TSMC

OIP Partner Technical Sessions
Advanced Logic Track 3D IC Track Analog, RF, Specialty Track
12:00 – 12:20 Nvidia Advanced Node AI Accelerator Implementation using Cadence Digital Full Flow

Cadence Design Systems / Nvidia

Addressing Inter-Die STA Complexity for 3D Multi-Die Designs

Synopsys / Arm

On-Die Power Management for Scalable SoCs and Chiplet Architectures

Analog Bits / Cerebras

12:20 – 13:30 Lunch & Ecosystem Pavilion
13:30 – 13:50 Multiphysics‑Aware Timing Signoff and Design Closure for AI and HPC Designs

Synopsys / Nvidia

Efficient, scalable methodology for reliability and ESD verification of complex 3D IC CoWoS systems

Siemens EDA / Marvell

Integrated Pre- and Postlayout Circuit Optimization Flow on TSMC N3 using Cadence Virtuoso Studio

Cadence Design Systems / Nvidia

13:50 – 14:10 AI-Enabled Optimization of Arm’s Highest-Performance CPU on TSMC's Advanced Node

Cadence Design Systems / ARM

Scaling AI Data Center’s Infrastructure: Protocol Agnostic Physical Design for Scale-Up using 224G SerDes

Alchip Technologies / Synopsys

IBIS-AMI Based Modeling Approach for Forwarded Clocking Architecture in End-to-end UCIe System Simulation

Keysight Technolgies / Qualcomm

14:10 – 14:30 Accelerating Physical Verification with Agentic AI DRC Fixing

Siemens EDA / Google

Broadcom 3DIC STA Signoff with Tempus

Cadence Design Systems / Broadcom

Large-scale Chip-Level 3D EM Extraction and Sign-off of Ultra-High-Speed Silicon Photonics and Custom Silicon IC/3DIC Designs with PeakView

Lorentz Solution / Nvidia

14:30 – 14:50 Delivering complex TSMC Advanced Node AI chips for Microsoft datacenter deployment

Cadence Design Systems / Microsoft

Scaling up AI Compute, Memory and Connectivity

GUC

M31 ultra-low power foundation IP solution on TSMC N12e Platform: Powering Edge AI and IoT applications

M31 Technology / Ambiq Micro

14:50 – 15:10 Methodology for Fmax-per-Watt Scaling in CPU-Centric Designs Using Advanced EDA and DTCO Techniques

Synopsys / Qualcomm Technologies

LPDDR6 and UCIe interface routing automation and optimization use cases using ASR

Cadence Design Systems / Socionext

Catching SOA Violations in Over-Voltage-Tolerant (OVT) GPIOs on Advanced FinFET Nodes

Sofics / Siemens EDA

15:10 – 15:30 Coffee Break & Ecosystem Pavilion
15:30 – 15:50 Identifying Weakest Links: A Cell Scoring Metric for Robust Design in Advanced Nodes

Siemens EDA / NXP

Designing with CoWoS S, CoWoS R and CoWoS L: package technology selection and co design for next generation heterogeneous systems

IMEC

PCI Express Solutions for HPC/AI Storage: Benefiting from TSMC’s advanced processes

Cadence Design Systems / SK hynix

15:50 – 16:10 Automated Architecture-Phase PDN Prototyping Workflow to Advance Multi-Die Designs

Synopsys / Mediatek

Hierarchical design planning and verification for CoWoS-L technology: an incremental methodology

Siemens EDA / ARM

Accelerating AI SoC Time-to-Market: NeoFuse OTP as the Silicon-Proven Anchor for PVT Calibration, Memory Repair, and Caliptra-Compliant Root-of-Trust

eMemory / ASPEED Technology

16:10 – 16:30 How Tempus™ PDK Timing Prediction Achieves Timing Signoff Accuracy on TSMC N2P

Cadence Design Systems / Broadcom

From Signal to Thermal: Where HBM Innovation Goes Next

Samsung Memory

LPDDR Memory: Enabling Power-Efficient Performance in AI, Automotive and Data Center Systems

Rambus

16:30 – 16:50 From Algorithms to Silicon: Accelerating Full-Stack Co-Design for the AI Era

UC Berkeley

16:50 – 18:00 Networking and Reception

*The agenda is subject to change by TSMC.