Hardware emulation arose as a necessity out of the needs of the eighties. By the mid-1980s, semiconductor designs had outgrown the practical limits of gate-level simulation. Gate-level simulation delivered accuracy, but at glacial pace; silicon prototypes performed at real-speed but arrived far too late. The industry needed… Read More
A recent announcement from Synopsys signals a meaningful escalation in the race to build next-generation AI hardware. The expanded collaboration between Synopsys and TSMC brings together silicon-proven IP, AI-driven design tools, and cutting-edge manufacturing processes in a tightly integrated effort to accelerate high-performance… Read More
Featured Speaker:
In this Synopsys webinar, Intel will present how its disaggregated designs across client and server platforms have driven the evolution of robust 3D multi-die design construction and signoff methodologies. Intel will share practical experience using Synopsys’
In this webinar, Intel will present how EMIB-T (Embedded Multi-die Interconnect Bridge with TSVs) enables compact, cost-effective multi‑die design while sustaining the bandwidth and power efficiency required for AI and datacenter designs. Intel will share a production-oriented EMIB-T reference methodology built … Read More
As power integrity challenges increase with advanced nodes and multi-die architectures, EMIR analysis must evolve beyond traditional signoff. In this Synopsys webinar, we will show how RedHawk-SC is expanding its capabilities not only to enhance EMIR analysis, but also to enable IR-aware Static Timing Analysis (IR-STA) … Read More
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
