This is a live panel with industry experts who are on the leading edge of AI in semiconductor manufacturing. This is a must attend event for all levels of semiconductor professionals. I hope to see you there.
The semiconductor industry faces unprecedented challenges as it pushes toward advanced nodes below 3nm, managing exponential… Read More
Physical AI is increasingly popular in applications requiring real-time decision making and autonomous operation. Different from NPUs for cloud platforms, Physical AI processors can be made application-specific. By jointly tuning their ISA and memory architecture to the network models required by the application, power
FPGA prototyping and hardware emulation originated from two independent demands that emerged at roughly the same time, namely, the necessity to implement digital designs in reconfigurable hardware. This was conceivable given the newly introduced field programmable gate array (FPGA) device.
Yet from the very beginning they… Read More
In this webinar, Marvell will present how its team accelerates passive interposer routing for advanced 2.5D/3.5D multi die designs by bringing early, physics based signal integrity feedback into each routing iteration. Rather than relying on repeated, compute intensive 3D FEM cycles during development, Marvell uses a Method… Read More
As semiconductors continue to scale, designers are turning to 3DIC architectures to meet increasing demands for performance, energy efficiency, and functional density in data centers and edge AI applications. However, stacking multiple dies introduces new multiphysics challenges including electrical, structural, and… Read More
Modern automotive electronics are undergoing a rapid transformation driven by increasing compute demands, functional safety requirements, and the shift toward scalable semiconductor architectures. One of the most significant technological developments enabling this transformation is the adoption of multi-die system… Read More
As AI workloads scale into the thousands of accelerators and hundreds of terabytes of distributed memory, traditional interconnects cannot deliver the deterministic latency, bandwidth efficiency, or memory semantic operations required for modern training clusters. UALink provides a purpose built accelerator fabric
In forty plus years as a semiconductor professional I have never seen a semiconductor design ecosystem build as fast and as strong as RISC-V. As a result, RISC-V Now! has emerged as a pivotal gathering, a conference with a clear and ambitious mission: To transform the open, modular, and flexible RISC-V ISA from an exciting specification… Read More
Some post-silicon bugs are unavoidable, but we’re getting better at catching them before we ship. Here we look at a method based on a bare-metal exerciser to stress-test the MMU. Paul Cunningham (GM, Verification at Cadence), Raúl Camposano (Silicon Catalyst, entrepreneur, former Synopsys CTO and lecturer at Stanford, EE292A)… Read More
This article concludes the three-part series examining key methodologies required for successful multi-die design. The first article Reducing Risk Early: Multi-Die Design Feasibility Exploration focused on feasibility exploration and early architectural validation, while the second article Building the Interconnect… Read More
