Registration Form

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In-Person Event Agenda
Please select the sessions you would like to attend in person. * One selection per time slot.

TSMC Technical Talks
11:00 – 11:30
3Dblox 2024: Maximize 3DIC Design Productivity

TSMC


Energy efficient N2P and A16 SPR Technology Enablement

TSMC


AI-powered EDA Solutions for Design PPA, QoR and Productivity Enhancement

TSMC

3DFabric & 3Dblox Track HPC & Mobile Track Automotive, IoT & RF Track
11:30 – 11:50
Routing of Multi-Chiplet TSMC 3DFabric technologies

Cadence / AMD


Chiplets and the Arm Chiplet System Architecture

Arm


Groundbreaking SRAM Repair Toolset: Pre-integrated Siemens Tessent MBIST with eMemory’s NeoFuse OTP

eMemory / Siemens EDA

11:50 – 12:10
Architecting next generations Terabit AI networks with Industry’s First Multi-Protocol I/O Connectivity Chiplet

Alphawave Semi / Arm


Broadcom deliver TSMC N3 high performance designs with Cadence AI driven digital full flow

Cadence / Broadcom


Developing Next-Gen Battery Charging Technology Partnering with TSMC and Synopsys for a Sustainable Energy Future

Synopsys / Iontra

12:10 – 12:30
Effective methods to reuse and automate bump creation for chiplets in 3DIC designs

Synopsys / AMD


Thermal modeling of backside power delivery structure –- a N2 process case practice

Ansys


Leveraging AI/ML as the next leap to custom design automation

Cadence / Renesas

12:30 – 13:30 Lunch & Ecosystem Pavilion
13:30 – 13:50
3DIC Physical Implementation and SoIC-X Silicon Testing Results

GUC


Utilizing an AI-powered methodology to achieve SPICE-accurate 7-sigma statistical yield verification

Siemens EDA


A comprehensive IP validation methodology for Microsoft’s AI and high-performance compute chips

Siemens EDA / Microsoft

13:50 – 14:10
Hierarchical flow innovation for Large Silicon Interposer (3X reticle size CoWoS-S) designs for faster turnaround and productivity improvement

Cadence / Broadcom


EDA Flow Cloud Certification – a collaboration between TSMC, AWS and Siemens EDA

Siemens EDA / AWS / TSMC


A Unified AI-Driven Platform for Multi-Die Exploration and Design

Synopsys

14:10 – 14:30
A Collaborative Study on 2.5D System in Package for Better Quality and Reliability of High Bandwidth Memory

SK hynix


Design of vertical fiber-to-chip coupling system in TSMC’s COUPE Silicon Photonics platform for Co-Packaged Optics and In-Package Optical I/O applications

Ansys


New approach that targets EM/IR hotspot analysis and fixing with mPower and Calibre DesignEnhancer

Siemens EDA

14:30 – 14:50
Efficient 3D Chiplet Stacking Using TSMC SoIC Technology

Alchip / Synopsys


Realizing benefits of Backside Power and Clock on TSMC A16 technology node

Synopsys


Enabling a Battery-Free IoT Future: Sofics and ONiO Collaboration on Ultra-Low Leakage ESD Protection

Sofics / ONiO

14:50 – 15:10
Ansys-Synopsys-TSMC Solve the 3DIC Multiphysics Challenges

Synopsys / Ansys


Advanced Verification of Microsoft MAIA AI Processor 3DIC

Siemens EDA / Microsoft


Accelerating the Verification of High-Frequency Mixed-Signal Components via Jivaro Pro Advanced Parasitic Reduction

Silvaco / Silicon Creations

15:10 – 15:30 Coffee Break & Ecosystem Pavilion
15:30 – 15:50
Simplifying requirements and flows of SoIC technology for Stacked die design with TSMC 3Dblox and Cadence Integrity 3D-IC Platform

Cadence / GUC


Secure remote debug with Siemens Calibre in Azure Modeling and Simulation Workbench

Microsoft / Siemens EDA


GDDR Memory for High-Performance AI Inference

Cadence / Rambus

15:50 – 16:10
HBM3/HBM3E Implementation Challenges When Integrating Memory Controllers with Physical Layer Solutions, and How to Overcome them

Rambus / Cadence


Mastering the Timing Closure Maze for Enhanced Productivity and Efficiency

Cadence / Intel


Revolutionizing RC Parasitic Extraction: The Power of StarRC Hybrid Extraction

Synopsys / TSMC

16:10 – 16:30
Multi-die design for TSMC COUPE with unified electronic and photonic design solutions

Synopsys / Ansys


Leveraging AI to accelerate debug with Calibre Design Solutions

Siemens EDA


Chip Design - Cloud and Efficiency

Google

16:30 – 16:50
The Future of Hardware Technologies for Computing

Stanford University


The Future of Hardware Technologies for Computing

Stanford University


The Future of Hardware Technologies for Computing

Stanford University

16:50 – 18:00 Networking and Reception

Online Event Agenda
Please select the sessions you would like to join.

3DFabric & 3Dblox Track HPC & Mobile Track Automotive, IoT & RF Track

An innovative mechanical stress modeling and simulation solution with TSMC 3Dblox standard

Ansys


Fast Vt skew analysis for highly accurate global variation modeling

Synopsys / TSMC


Low-Power Communication IC Design Verified by AI-Powered Simulation Flow

Siemens EDA / THine Electronics


Addressing 3DIC Design Reliability Challenges with a Cutting-Edge Mechanical Stress Modeling and Simulation Approach

Cadence


Optimized Power Management of ARM CPU Cores with Integrated Analog Bits Power Management and Clocking IP’s

Analog Bits / Arm


Slack Generation Utility: Analysis of Timing QoR For a Path Monitor Unit - Based Approach

Quest Global Services


Leveraging TSMC’s CoWoS Interposer and Synopsys’ SLM IP to Monitor, Test, and Repair Multi-Die Designs

Synopsys / TSMC


Enabling SoC Scaling to GAA Processes with Synopsys Foundation IP

Synopsys


A library-focused approach to standard cell IP evaluation and selection for automotive ICs

Siemens EDA / Infineon Technologies


Distributed and GPU-accelerated 3D EM Simulations for IC and 3DIC Silicon Photonics Applications with Peakview

Lorentz Solution / NVIDIA


AI-Driven Analog Design Migration Solution Tuned for TSMC Technology Platforms

Synopsys


AI Driven Layout Optimization For T-Coil Matching Networks

Ansys / AMD


Electro-Thermal Modeling and Simulation for Thermal Management in Co-Packaged Optics

Cadence


Using Quantus Insight for Intelligent Debugging, Optimization, and Signoff Closure

Cadence / CelestialAI


AI-based RF design synthesis flow

Synopsys


Insights into the Synopsys-TSMC UCIe IP on N5 and CoWoS Test Chip

Synopsys


Workload-Aware Dynamic Power Reduction with a Reliability Protection-Layer

proteanTecs


Enabling Tomorrow’s AI/ML Workloads with Standards-Based Protocol IP in Advanced Technology Processes

Cadence

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