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Week In Review: Design, Low Power


The CXL Consortium published the Compute Express Link 2.0 specification. CXL is an interconnect that maintains memory coherency between the CPU memory space and memory on attached devices. CXL 2.0 adds support for switching for fan-out to connect to more devices, memory pooling for increased memory utilization efficiency and providing memory capacity on demand, and support for persistent memory... » read more

Pushing The Envelope With HBM2E Memory


In September, Rambus announced the achievement of reaching 4 gigabits per second (Gbps) operation with our HBM2E memory interface. This milestone was demonstrated in silicon and required mastering substantial signal integrity and power integrity (SI/PI) challenges. The 4 Gbps mark represents a 20% rise from the previous maximum data rate of 3.2 Gbps for HBM2E. To date, the industry’s faste... » read more

Week In Review: Design, Low Power


Perforce Software acquired Methodics. Founded in 2006 and based in San Francisco, Methodics' IP lifecycle management and traceability software will join Perforce's larger portfolio of DevOps software that includes version control, Agile planning, and static code analysis. The two companies have had a strategic partnership in place with customers using software from both companies. Terms of the ... » read more

Week In Review: Design, Low Power


eSilicon debuted its 7nm high-bandwidth interconnect (HBI)+ PHY IP, a special-purpose hard IP block that offers a high-bandwidth, low-power and low-latency wide-parallel, clock-forwarded PHY interface for 2.5D applications such as chiplets. HBI+ PHY delivers a data rate of up to 4.0Gbps per pin. Flexible configurations include up to 80 receive and 80 transmit connections per channel and up to 2... » read more

Week In Review: Design, Low Power


Si2's Unified Power Model has been approved as IEEE 2416-2019, a new Standard for Power Modeling to Enable System Level Analysis, which complements UPF/IEEE 1801-2018. UPM/IEEE 2416-2019 provides a set of power modeling semantics enabling system designers to model entire systems with flexibility. It supports power modeling from abstract design description to gate level implementation, providing... » read more

Week In Review: Design, Low Power


M&A Infineon Technologies will acquire Cypress Semiconductor for $23.85 per share in cash, or $10.1 billion. The deal will place Infineon as the number eight chip manufacturer in the world based on 2018 revenues and create an automotive powerhouse, making the combined company the largest supplier of chips to the automotive market. Infineon sees potential to reach into new industrial and co... » read more

Week In Review: Design, Low Power


Achronix and Mentor uncorked an optimized HLS flow for Achronix's FPGA technology products. The integrated development environment enables designers to quickly go from C++ to FPGA using Mentor's Catapult HLS and Achronix's ACE design tools. Initially used for 5G wireless applications to reduce the overall development effort and improve QoR, it is suitable for any design targeting Achronix techn... » read more

The Week In Review: Design


Tools & IP Synopsys added machine learning capabilities to its Design Platform. The company highlighted benefits to the PrimeTime signoff tool, which saw 5X faster power recovery in customer designs at leading-edge geometries. Renesas is using the tool, noting a 4X power ECO speed-up. ArterisIP unveiled a standalone last level cache (LLC) for high-performance SoCs. CodaCache can be adde... » read more

The Week In Review: Design


Startup OnScale launched with advanced CAE multi-physics solvers that are seamlessly integrated with a scalable, high performance cloud computing platform built on Amazon's AWS. The company's model is built around a Solver-as-a-Service pay-as-you-go subscription model and targets 5G, IoT/Industrial IoT, biomedical, and autonomous car markets. The company has $3 million in strategic seed fund... » read more

The Week In Review: Design


Tools & IP Arm unveiled a new suite of IP focused on machine learning for edge devices. Currently dubbed Project Trillium, it includes the Arm ML processor, the second-generation Arm Object Detection (OD) processor, and open-source Arm NN software. The ML processor provides more than 4.6 TOPs in mobile environments with efficiency of 3 TOPs/W. People detection is a focus of the OD processo... » read more

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