Sparse linear algebra (SLA) operations are essential in many applications such as data analytics, graph processing, machine learning, and scientific…
Excerpt from article: “A hardware-centric approach to checking HLS code before synthesis“ Finding coding problems in C++ or SystemC code…
This webinar describes the Edge Machine Learning Accelerator SoC design and verification of the systolic array-based DNN accelerator taped out by Stanford, the performance optimizations of the…
This blog will cover next generation High-Level Synthesis (HLS) design and verification methodologies and techniques. Actual users will be talking…
Excerpt from article: “Why TinyML is Such a Big Deal“ “If you just compile everything onto the controller, even at…
Catapult HLS (High-Level Synthesis) and C-level design and verification are reducing entire project development times by half or more in…
Inferencing for Convolutional Neural Network(s) (CNNs) is notoriously compute intensive. This makes them an ideal candidate for hardware acceleration, which…
Learn how a High-Level Synthesis (HLS) design and verification flow built around Catapult HLS can dramatically speed up the design…
Excerpt from article: “Tradeoffs To Improve Performance, Lower Power“ In the past, developers could just wait for the next silicon…
