Uses, Limits And Questions For FPGAs In Autos


Programmable logic in automotive applications is essential, given the parade of almost constant updates and shifts in direction, but exactly where the technology will be used has become a moving target. This isn't entirely surprising in the automotive industry. Carmakers are moving into electrification and increasing levels of automation in fits and starts, sometimes with dramatic swings in ... » read more

eFPGA as Silicon Debugger


A variety of debugging features are available by implementing the Flex Logix embedded FPGA cores. This includes: • High observability—the many eFPGA IOs allow for thousands of signals to be monitored • Event detection—the eFPGA logic can be configured to detect very complex signal patterns to help identify meaningful events • High visibility—data can be logged by the eLA inside t... » read more

Week in Review – IoT, Security, Autos


Products/Services Cadence Design Systems is working with Adesto Technologies to grow the Expanded Serial Peripheral Interface (xSPI) communication protocol ecosystem, for use in Internet of Things devices. The Cadence Memory Model for xSPI allows customers to ensure optimal use of the octal NOR flash with the host processor in an xSPI system, including support for Adesto’s EcoXiP octal xSPI ... » read more

ML, Edge Drive IP To Outperform Broader Chip Market


The market for third-party semiconductor IP is surging, spurred by the need for more specific capabilities across a wide variety of markets. While the IP industry is not immune to steep market declines in semiconductor industry, it does have more built-in resilience than other parts of the industry. Case in point: The top 15 semiconductor suppliers were hit with an 18% decline in 2019 first-... » read more

How To Meet Power Performance And Cost for Autonomous Vehicle Systems Using Speedcore eFPGAs


In the advanced, fully autonomous, self-driving vehicles of the future, the existence of dozens and even hundreds of distributed CPUs and numerous other processing elements is assured. Peripheral sensor-fusion and other processing tasks can be served by ASICs, SoCs, or traditional FPGAs. But the introduction of embedded FPGA blocks such as Achronix's Speedcore eFPGA IP provides numerous system-... » read more

Top Tech Talks Of 2018


2018 shaped up to be a year of transition and inflection, sometimes in the same design. There were new opportunities in automotive, continued difficulties in scaling, and an explosion in AI and machine learning everywhere. Traffic numbers on stories give a snapshot of the most current trends, but with videos those trends are even more apparent because of the time invested in watching those v... » read more

Speedcore Power Estimator User Guide


The Achronix Speedcore Power Estimator tool provides a platform to calculate the power requirements for Achronix Speedcore eFPGAs. This user guide gives a detailed overview of the thermal and power needs depending on the device, environment and utilization of components in the design. Read the Speedcore Power Estimator User Guide (UG073) here. » read more

Week in Review: IoT, Security, Auto


Internet of Things Gartner identified what it says are the top 10 strategic Internet of Things technologies and trends. Number one, no surprise, is artificial intelligence. Nick Jones, research vice president at Gartner, said in a statement, “AI will be applied to a wide range of IoT information, including video, still images, speech, network traffic activity, and sensor data.” Other top t... » read more

Performance Benchmarking Embedded FPGAs


When evaluating the performance of an embedded FPGA, one needs to evaluate the performance of each of the individual modules that make up an FPGA. The basic modules are: Reconfigurable logic building blocks (RBB-Logic), Fine-granularity logic containing LUTs, carry-forwarding adder chain, and flip-flops Reconfigurable DSP building blocks (RBB-DSP), Medium-granularity arith... » read more

Machine Learning Shifts More Work to FPGAs, SoCs


A wave of machine-learning-optimized chips is expected to begin shipping in the next few months, but it will take time before data centers decide whether these new accelerators are worth adopting and whether they actually live up to claims of big gains in performance. There are numerous reports that silicon custom-designed for machine learning will deliver 100X the performance of current opt... » read more

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