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Differential Energy Analysis for Improved Performance/Watt in Mobile GPU

Mobile devices demand high performance in a very constrained environment. As a leader in perf/watt, Qualcomm® Adreno™ GPUs, a product of Qualcomm Technologies, Inc., leverages many effective methods to improve power efficiency. In this regard, Qualcomm has developed a differential energy analysis methodology based on ANSYS PowerArtist to identify the power optimization opportunity in GPU. This methodology can help to locate the inefficient part that needs further optimization in the pre-silicon stage. Experimental results based on identifying unnecessary register toggles demonstrate the effectiveness of this proposed methodology. View this on-demand webinar to learn more.

Speakers: 
Preeti Gupta, is head of RTL product management, for the ANSYS semiconductor business unit.

Yadong Wang is currently a staff engineer in the GPU system power team at Qualcomm Technologies, Inc., San Diego, California. He has about 10 years of ASIC low-power design experience. At Qualcomm, he is responsible for power modeling and analysis of Adreno™ GPUs, and explores and develops many effective methods to improve power efficiency. Before joining Qualcomm, he worked as a hardware power engineer at NVIDIA. Yadong earned an M.S. degree in electrical engineering from Tongji University (Shanghai, China) in 2009.

Author: ANSYS Type: Webinar Date:
Product Name: ANSYS PowerArtist
Product Category: Semiconductors
Industry: High Tech
Sub Industry: Semiconductor Design, Semiconductors


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Winning in the Digital Economy - Engineering Smart, Connected Products, Operations and Services - Webinar

The digital economy presents a unique, never-before opportunity to connect humanity. The Internet of Things (IoT) and digital technologies (e.g., digital twins) are revolutionizing nearly every industry imaginable, and personalized healthcare, connected cars and wearable electronics are just a few of the many applications. Engineering simulation provides a competitive edge for companies looking to develop better products – faster.

Author: ANSYS, Inc. Type: Webinar Date:
Product Name: ANSYS HFSS
Product Category: Electronics - Electromechanical, Electronics - High Frequency Electromagnetics, Electronics - Integrated Circuits, Electronics - Signal Integrity, Embedded Software, Electronics, Semiconductors
Industry: Healthcare - BioMed, High Tech, Consumer Products, Automotive
Sub Industry: Biomedical Devices, Computer and Storage Devices, Consumer Electronics, Diagnosis and Personalized Medicine, Electrical and Electronics, Household Goods, Mobile Computing


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Winning in the Digital Economy - Engineering Smart, Connected Products, Operations and Services - Webinar

The digital economy presents a unique, never-before opportunity to connect humanity. The Internet of Things (IoT) and digital technologies (e.g., digital twins) are revolutionizing nearly every industry imaginable, and personalized healthcare, connected cars and wearable electronics are just a few of the many applications. Engineering simulation provides a competitive edge for companies looking to develop better products – faster.

Author: ANSYS, Inc. Type: Webinar Date:
Product Name: ANSYS HFSS
Product Category: Electronics - Electromechanical, Electronics - High Frequency Electromagnetics, Electronics - Integrated Circuits, Electronics - Signal Integrity, Embedded Software, Electronics, Semiconductors
Industry: Healthcare - BioMed, High Tech, Consumer Products, Automotive
Sub Industry: Biomedical Devices, Computer and Storage Devices, Consumer Electronics, Diagnosis and Personalized Medicine, Electrical and Electronics, Household Goods, Mobile Computing


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Designing Power-Efficient RTL for IoT Chips - Webinar

Within a few years we will be living in a smart world powered by billions of IoT (Internet of Things) devices. To be efficient, these devices will have to be energy-smart. This requires making the right decisions early in the design process to impact the power consumption of IoT semiconductor chips.

Learn how the RTL hardware description language delivers predictable accuracy that enables early power-related design decisions. Discover how a low-power methodology can make RTL energy-efficient for IoT applications by focusing on power analysis, power reduction and power regressions.

Author: ANSYS Type: Webinar Date:
Product Category: Semiconductors
Sub Industry: Semiconductor Design


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