中文 English

Week In Review: Design, Low Power


Tools & IP Cadence debuted the Palladium Z2 Enterprise Emulation and Protium X2 Enterprise Prototyping systems. The Palladium Z2 is based on a new custom emulation processor, while the Protium X2 is based on Xilinx UltraScale+ VU19P FPGAs. Designed to work together with a common front-end flow, they provide 2X capacity and 1.5X performance improvements over the previous generations, and ne... » read more

Week In Review: Auto, Security, Pervasive Computing


Pervasive computing — IoT, edge, cloud, data center, and back LG Electronics says it is closing its mobile business unit to focus on growth areas such as electric vehicle components, connected devices, smart homes, robotics, artificial intelligence and business-to-business solutions, as well as platforms and services. The company will continue to update some premium phones after it leaves th... » read more

Interconnects In A Domain-Specific World


Moving data around is probably the least interesting aspect of system design, but it is one of three legs that defines the key performance indicators (KPI) for a system. Computation, memory, and interconnect all need to be balanced. Otherwise, resources are wasted and performance is lost. The problem is that the interconnect is rarely seen as a contributor to system functionality. It is seen... » read more

Startup Funding: March 2021


Self-driving vehicles revved up investors in March, with two companies receiving over $200M apiece as they prepare for their systems to enter mass production. One focuses on software for passenger vehicles, while the other is looking to autonomous trucks. Both of the companies received investment from automakers, with China's largest carmaker SAIC joining each of the funding rounds. It was also... » read more

New Uses For AI


AI is being embedded into an increasing number of technologies that are commonly found inside most chips, and initial results show dramatic improvements in both power and performance. Unlike high-profile AI implementations, such as self-driving cars or natural language processing, much of this work flies well under the radar for most people. It generally takes the path of least disruption, b... » read more

Privacy Protection A Must For Driver Monitoring


Driver monitoring systems are so tied into a vehicle's architecture that soon the driver will not be able to opt out because the vehicle will only operate if the driver is detected and monitored. This is raising privacy concerns about whether enough security is in place for the data to remain private. At the very least, laws and regulations in every geography where the vehicle will operate a... » read more

How To Measure ML Model Accuracy


Machine learning (ML) is about making predictions about new data based on old data. The quality of any machine-learning algorithm is ultimately determined by the quality of those predictions. However, there is no one universal way to measure that quality across all ML applications, and that has broad implications for the value and usefulness of machine learning. “Every industry, every d... » read more

Network Interface Card Evolution


Longer chip lifetimes, more data to process and move, and a slowdown in the rate of processor improvements has created a series of constantly shifting bottlenecks. Kartik Srinivasan, director of data center marketing at Xilinx, looks at one of those bottlenecks, the network interface card, why continuous enhancements and changes will be required, and how to extend the life of NICs as the networ... » read more

Xilinx AI Engines And Their Applications


This white paper explores the architecture, applications, and benefits of using Xilinx's new AI Engine for compute intensive applications like 5G cellular and machine learning DNN/CNN. 5G requires between five to 10 times higher compute density when compared with prior generations; AI Engines have been optimized for DSP, meeting both the throughput and compute requirements to deliver the hig... » read more

Blog Review: March 31


Arm's Pavel Rudko considers several common approaches used to get better performance for neural network inference on mobile devices, such as optimizing and pruning the model and using different processing units to execute different workloads in parallel. Siemens EDA's Ray Salemi introduces basic concepts of using Python for verification and how to get Python to talk to an RTL device-under-te... » read more

← Older posts