Best-in-class engines provide performance and capabilities required
to achieve comprehensive verification of advanced machine learning and
SAN JOSE, Calif.–(BUSINESS WIRE)–lt;a href=”https://twitter.com/hashtag/AI?src=hash” target=”_blank”gt;#AIlt;/agt;–Cadence Design Systems, Inc. (NASDAQ: CDNS) today announced that Thinci
has deployed the full Cadence® Verification Suite to
accelerate the design and verification of its machine learning and
artificial intelligence (AI) system-on-chip (SoC) designs. The Cadence
Verification Suite provides Thinci access to new technologies and
methodologies to achieve faster verification and design closure,
shortening the product development schedule by months while improving
“Our comprehensive machine learning and AI solutions integrate SoCs,
platforms and software, which are powering the next generation of
emerging compute devices,” said Ke Yin, Vice President of Engineering at
Thinci. “We selected the Cadence Verification Suite because it enables
us to confidently verify our innovative technology and bring our machine
learning and AI products to market months earlier with superior quality.”
For more information on the Cadence Verification Suite, please visit www.cadence.com/go/cadenceverificationsuite.
The complexity of Thinci’s machine learning and AI designs created new
verification challenges that required greater efficiencies. The Cadence
Verification Suite, including the Xcelium™ Parallel Logic
Simulation Platform, the Palladium® Z1 Enterprise Emulation
Platform, and Protium™ S1 FPGA-Based Prototyping Platform,
helped resolve these challenges and provided Thinci with the best
verification throughput and increased performance across the fast
engines, reducing cycle time for tests at all phases of development—from
block, to SoC, to full system. Thinci also used the suite to perform
seamless multi-layer verification and smart bug hunting, reaping the
benefits of unified planning and management capabilities with
multi-engine coverage, and formal apps to address specific design
challenges, which together enabled faster development with higher
Using the Cadence Verification Suite, Thinci’s engineers were able to
reduce their IP and block-level regression times, while the incremental
build technology allowed them to shorten turnaround time for the highly
replicated designs needed for machine learning and AI systems.
Additionally, the integrated flow offered by solutions within the
Cadence Verification Suite allowed Thinci to expand its verification
capabilities to hardware and software co-verification, which was needed
to validate its SoCs, demonstrating readiness for end applications.
The Cadence Verification Suite is comprised of best-in-class core
engines, verification fabric technologies and solutions that increase
design quality across a wide variety of applications and vertical
segments, providing the best verification throughput. The Cadence
Verification Suite supports the Cadence System Design Enablement
strategy, which enables system and semiconductor companies to create
complete, differentiated end products more efficiently.
Thinci is developing ground-breaking products for the rapidly expanding
Deep Learning, Artificial Intelligence and Ultra-Big-Data processing
markets. Thinci’s next-generation hardware computing platforms based on
its proprietary Graph Streaming Processor (GSP) architecture bring true
task-parallel computing to the broad market. With focus on
ultra-power-efficient computing and lowest-in-class latency, Thinci
deep-learning systems (chips + systems + software) are being adopted
across automotive, industrial and consumer markets. Thinci is backed by
$85m in funding from strategic and venture investors including Denso,
Daimler, Mirai Creation Fund, GGV Capital, Magna, SG Innovate, Wavemaker
Partners, and Temasek. Thinci is based in El Dorado Hills, CA with
offices in Campbell, CA, Hyderabad, India, and the UK.
Cadence enables electronic systems and semiconductor companies to create
the innovative end products that are transforming the way people live,
work and play. Cadence software, hardware and semiconductor IP are used
by customers to deliver products to market faster. The company’s System
Design Enablement strategy helps customers develop differentiated
products—from chips to boards to systems—in mobile, consumer, cloud
datacenter, automotive, aerospace, IoT, industrial and other market
segments. Cadence is listed as one of Fortune Magazine’s 100 Best
Companies to Work For. Learn more at cadence.com.
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