Looking backward and forward, the white paper from Codasip “Scaling is Failing” by Roddy Urquhart provides an interesting history of processor development since the early 1970s to the present. However it doesn’t stop there and continues to extrapolate what the chip industry has in store for the rest of this decade. For the last… Read More
Tag: gpu
Using a GPU to Speed Up PCB Layout Editing
I can remember back in the 1980s how Apollo workstations were quite popular, because they accelerated the graphics display time for EDA tools much better than competitive hardware. Fast forward to 2022 and we have the same promise of speeding up EDA tools like PCB layout editing by using a GPU. At the 58th DAC there was a session called,… Read More
An FPGA-Based Solution for a Graph Neural Network (GNN) Accelerator
Earlier this year, Achronix made a product announcement about shipping the industry’s highest performance Speedster7t FPGA devices. The press release included lot of details about the architecture and features of the device and how that family of devices is well suited to satisfy the demands of the artificial intelligence … Read More
NetApp Simplifies Cloud Bursting EDA workloads
Why burst EDA workloads to the cloud
Time to market challenges are nothing new to those of us who have worked in the semiconductor industry. Each process node brings new opportunities s along with increasingly complex design challenges. 7nm, 5nm and 3nm process nodes have introduced scale, growth, and data challenges at a level… Read More
Qualcomm on Power Estimation, Optimizing for Gaming on Mobile GPUs
I don’t look at the RTL power estimation topic too often these days, so I was interested to see that ANSYS still has a very strong position in this area. Qualcomm is using PowerArtist on one of the most demanding modern applications – mobile GPU power gaming. Mobile gaming heavily loads the GPU, so any optimization in that area will … Read More
Speeding up Circuit Simulation using a GPU Approach
The old adage that “Time is Money” certainly rings true in the semiconductor world where IC designers are being challenged with getting their new designs to market quickly, and correctly in the first spin of silicon. Circuit designers work at the transistor-level, and circuit simulation is one of the most time-consuming… Read More
GPU-Powered SPICE – Understanding the Cost
To deploy a GPU-based SPICE solution, you need to understand the costs involved. To get your hands on this new report analyzing this specific issue, all you need to do is attend Empyrean’s upcoming webinar, “GPU-Powered SPICE: The Way Forward for Analog Simulation,” which will be held on Thursday, August 8, 2019, at 10:00 am (PDT).… Read More
Webinar: Differential Energy Analysis for Improved Performance/Watt in Mobile GPU
May want to listen up; Qualcomm are going to be sharing how they do this. There is a constant battle in designing for low power; you don’t accurately know what the power consumption is going to be until you build it, but by the time you’ve built it, it’s too late to change the design. So you have to find methods to estimate power early on,… Read More
TSMC OIP and the Insatiable Computing Trend!
This year’s OIP was much more lighthearted than I remember which is understandable. TSMC is executing flawlessly, delivering new process technology every year. Last year’s opening speaker, David Keller, used the phrase “Celebrate the way we collaborate” which served as the theme for the conference. This year David’s… Read More
Prototyping GPUs, Step by Step
FPGA-based prototyping has provided a major advance in verification and validation for complex hardware/software systems but even its most fervent proponents would admit that setup is not exactly push-button. It’s not uncommon to hear of weeks to setup a prototype or of the prototype finally being ready after you tape-out. … Read More