AI Market Ramps Everywhere


Artificial Intelligence (AI) has inspired the general populace, but its rapid rise over the past few years has given many people pause. From realistic concerns about robots taking over jobs to sci-fi scares about robots more intelligent than humans building ever smarter robots themselves, AI inspires plenty of angst. Within the technology industry, we have a better understanding about the pote... » read more

More Than A Core


Gajinder Pandesar, CTO of UltraSoC, talks with Semiconductor Engineering about why heterogeneous design is changing the starting point for chip design, and why integration is now the real challenge rather than the processor core. https://youtu.be/y0rzopp5HDI » read more

The Fibonacci Calculator


The holiday season is all about traditions, and the annual holiday puzzle has become a tradition here at OneSpin. Two years ago, we challenged engineers everywhere to solve the famous Einstein’s Riddle using a formal tool. We received some interesting solutions. Last year, we drew an even bigger response to our invitation to tackle the “World’s Hardest Sudoku.” These puzzles are fun, of... » read more

Improving Library Characterization with Machine Learning


Efficient and accurate library characterization is a critical step in full-chip or block-level design flows because it ensures that all library elements perform to specification under all intended operating conditions. However, traditional library characterization and validation have become increasingly expensive in terms of computation and engineering effort, due to complexity and the amount o... » read more

Enabling Embedded Vision Neural Network DSPs


Neural networks are now being developed in a variety of technology segments in the embedded market, from mobile to surveillance to the automotive segment. The computational and power requirements to process this data is increasing, with new methods to approach deep learning challenges emerging every day. Vision processing systems must be designed holistically, for all platforms, with hardwa... » read more

The Rise and Fall of Synthesis Bugs in Safety-Critical FPGAs


For standards IEC 61508 / ISO 26262 / EN 50128 / DO-254. FPGAs are the dominant hardware platform in low-volume, safety-critical applications, including aerospace, and nuclear power plants. Modern FPGAs allow for the implementation of high performance designs with integrated safety mechanisms. This is driving adoption in additional industries, including automotive. Functional safety standard... » read more

Quantifying the Value of On-Chip Debug


White paper authored by Semico Research, quantifies the benefits of using on-chip debug and monitoring technology, specifically UltraSoc's technology. Rising design complexityIn the last several years, contemporary SoCs (system-on-a-chip) have become increasingly complex. They now consist of 100s of millions of gates, 100 or more discrete semiconductor intellectual property (SIP) blocks, hi... » read more

DO-254 Solutions Blueprint


The Federal Aviation Administration (FAA) recognizes the use of commonly used tools for FPGA design and verification such as RTL simulator, synthesis, place & route and static timing analysis. For DAL A and B FPGAs, the FAA also recognizes other tools that improve design, verification, traceability and project management including requirements management, traceability, tests management, de... » read more

Blog Review: Dec. 19


Cadence's Dave Pursley checks out the state of high-level synthesis and notes that 39% of survey respondents expect to be using it for the majority of designs within three years. In a video, Mentor's Colin Walls digs into how to measure RTOS performance with a focus on interrupt latency. Synopsys' Taylor Armerding chats with Chenxi Wang of Rain Capital to find what the security landscape will... » read more

The DNA of an Artificial Intelligence SoC


Over the past decade, a few advancements have made artificial intelligence (AI) one of the most exciting technologies of our lifetime. In 2012, Geoffrey Everest Hinton demonstrated his generalized back propagation neural network algorithm in the Imagenet challenge, which revolutionized the field of computer vision. However, the math was developed years prior to 2012, and it was the available m... » read more

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