Tag Archives: GPU

AMD’s new Trinity APU (Accelerated Processing Unit) for laptops/notebooks is a poster child for IP-centric SoC design

Yesterday, AMD introduced its second generation of A-series APUs (Accelerated Processing Units) that combine two to four Piledriver x86 microprocessor cores—each with 2Mbytes of L2 cache memory—with a Radeon 7000 GPU (Graphics Processing Unit), an HD Media Accelerator, a display … Continue reading

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3D Thursday: Qualcomm’s Nick Yu says “3D DRAM stacking has started—it’s shipping in products”

Today’s GSA Silicon Summit held at the Computer History Museum in Mountain View, California included a talk on 3D IC assembly by Nick Yu, VP of Engineering, VLSI Engineering, at Qualcomm. Yu is in charge of Qualcomm’s technology roadmaps including … Continue reading

Posted in 2.5D, 3D, EDA360, Silicon Realization, SoC, SoC Realization, System Realization | Tagged , , , , , | Leave a comment

Qualcomm reveals more Snapdragon 4 SoC details in a White Paper. Want to know what’s inside?

As I reported by the EDA360 Insider more than two months ago—see “Qualcomm renames existing ARM-based Snapdragon mobile application processors and provides future roadmap”—Qualcomm has been discussing the 28nm version of its Snapdragon mobile SoC, called the Snapdragon 4. Now … Continue reading

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3D Thursday: AMD Radeon E6460 embedded graphics processor employs two kinds of 3D assembly. One may really surprise you

Earlier this week, AMD launched the Radeon E6460 embedded GPU  (graphics processor, see photo below). It’s an entry-level GPU with more than 2x the performance of the previous-generation Radeon E2400 GPU. To get the desired performance from this GPU—it’s capable … Continue reading

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Friday Video: Webinar of NVIDIA GPU talk now online

A couple of days ago, I wrote a blog entry on Michael Shebanow’s GPU talk given to the local IEEE Computer at Cadence. (See “What would you do with a 23,000-simultaneous-thread school of piranha?…asks NVIDIA.”) Now, you can watch the recorded … Continue reading

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Learn the secrets of taming the GPU—free—next Tuesday, September 13

Next Tuesday evening in San Jose, Michael Shebanow will give a talk titled “GPU computing: Taming a 23,000 Thread Beast!” Shebanow is a principal research scientist at NVIDIA and he’s got a lot of processor architectures under his belt—the 32-bit … Continue reading

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