IoT drives computing on the edgeNadella has previously spoken of the company’s vision as cloud first, mobile first, but this is now changing with new IoT workloads. He described IoT as a cloud workload that can generate vast amounts of data, and calls for a rethink in how applications are engineered.“The platform shift is all about data. When you have an autonomous car generating 100GB of data at the edge, the AI will need to be more distributed. People will do training in the cloud and deploy on the edge – you need a new set of abstractions to span both the edge and the cloud,” he said.This leads to a change in Microsoft’s manta. “We are moving from mobile first, cloud first to a world made from an intelligent cloud and an intelligent edge,” said Nadella.As computing becomes more distributed, developers will not be able to write software bound to one virtual machine, according to Nadella. “Serverless computing will be the core of distributed computing, and this will change everything we do in Windows, Office 365 and Azure,” he added.One of the companies using computing on the edge is Swedish industrial company Sandvik Coromant. It has built cloud applications to take all data from its machines to run predictive maintenance and time series analysis to identify the cause of anomalies. The company looked at how to shutdown its machines before they got damaged.While this is being controlled by the Azure cloud, Microsoft has now developed an edge computing platform that would enable companies such as Sandvik to run machine monitoring applications on the machines rather than in the cloud.Among the new products Microsoft unveiled at Build is Azure IoT Edge. This is a Windows and Linux cross-platform runtime environment, which Microsoft claims is able to run on devices smaller than a Raspberry Pi.According to Microsoft, application logic can be tested in the cloud, and the same code can then be run on the edge device.
For casual readers, we really want this to happen.....intelligence on the edge for all devices, wearables, smartphones with edge intelligence would drive a need for eFPGA and
co processing......hardware acceleration. Some of these algos for AI are compute intense. QUIK has a old slide deck that has the compute intensity of various processes, voicejust starts to put the MCU into the yellow. Maybe one day they will add inference algos on to that slide? Don't really know where they fit into that yet.....For casual readersInference on the edge has BIG dogs on record as wanting it. Facebook has it as a focus.Now add in this from MSFT.Open q to ponder...Where will Inference on the edge run?
Edge intelligence.. MSFT ways inhttp://www.computerweekly.com/news/...ifts-to-intelligence-in-cloud-and-on-the-edge
IoT drives computing on the edgeNadella has previously spoken of the company’s vision as cloud first, mobile first, but this is now changing with new IoT workloads. He described IoT as a cloud workload that can generate vast amounts of data, and calls for a rethink in how applications are engineered.“The platform shift is all about data. When you have an autonomous car generating 100GB of data at the edge, the AI will need to be more distributed. People will do training in the cloud and deploy on the edge – you need a new set of abstractions to span both the edge and the cloud,” he said.This leads to a change in Microsoft’s manta. “We are moving from mobile first, cloud first to a world made from an intelligent cloud and an intelligent edge,” said Nadella.As computing becomes more distributed, developers will not be able to write software bound to one virtual machine, according to Nadella. “Serverless computing will be the core of distributed computing, and this will change everything we do in Windows, Office 365 and Azure,” he added.One of the companies using computing on the edge is Swedish industrial company Sandvik Coromant. It has built cloud applications to take all data from its machines to run predictive maintenance and time series analysis to identify the cause of anomalies. The company looked at how to shutdown its machines before they got damaged.While this is being controlled by the Azure cloud, Microsoft has now developed an edge computing platform that would enable companies such as Sandvik to run machine monitoring applications on the machines rather than in the cloud.Among the new products Microsoft unveiled at Build is Azure IoT Edge. This is a Windows and Linux cross-platform runtime environment, which Microsoft claims is able to run on devices smaller than a Raspberry Pi.According to Microsoft, application logic can be tested in the cloud, and the same code can then be run on the edge device
The HUGE BIG pic wants intelligence on the edge for IoT. Sensory's Todd M. has had this vision for yrs. Separately QUIK's Dr. Saxe has seen a layer of intelligence on the edge for
at least several yrs also, ........these neural networks are what?
Algos. Tiers of algos...100 layers deep, maybe more.
MSFT on the cloud end of Azure does AI on what?
Big use of FPGA........
WHat will it be on the edge?
AI on the edge is NOW the adjacent possible for eFPGA. If it works the value of such IP moves up by a multiple not a percent.
QUIK is not limited by its small pile of $$ any more, eFPGA is for ANYONE's vision of the edge.....
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1. Qualcomm $15 billion
2. Broadcom $14 billion
3. Mediatek $9 billion (Taiwan)
4. Nvidia $4.5 billion
5. AMD $4 billion
6. Huawei HiSilicon $3.98 billion (China)
7. Marvell $2.5 billion
8. Xilinx $2.3 billion
9. Spreadtrum $1.9 billion (China)
10. Novatek $1.5 billion (Taiwan)
11. Realtek $1.3 billion (Taiwan)
12. Dialog $1.2 billio
FPGA is being licensed by several Tier-1 customers for integration into their SoCs
The new support center will provide local technical support for customers implementing SoC and ASIC designs
Glo fo center is NOT here. SMIC is NOT here.
Mediatek- HQ in Taiwan. Tier 1.
Mediatek has been on my mind these past days...........
Am putting this here as I let it percolate with other tidbits of info...to find the little tiny bit that may be new and lend some insights
QuickLogic Establishes eFPGA Support Center to Accelerate IP Licensing Model
![[IMG]](https://s.yimg.com/bt/api/res/1.2/Y2rD6wK2a3Lhjy6cyTT.Sw--/YXBwaWQ9eW5ld3M7c209MTt3PTg0O2g9ODQ7aWw9cGxhbmU-/http://l.yimg.com/os/284/2013/04/02/Marketwired-Logo-RGB-JPG_124346.jpg)
MarketwiredMay 31, 2017
NASDAQ : QUIK ), a developer of ultra-low power programmable sensor processing, embedded FPGA IP, display bridge and programmable logic solutions, today announced that it has established a new support center in Taiwan to accelerate the adoption of the company's ArcticPro™ embedded FPGA (eFPGA) IP. The new support center will provide local technical support for customers implementing SoC and ASIC designs with QuickLogic's ArcticPro eFPGA technology, Aurora software development tools and Borealis compiler.
QuickLogic Corporation is licensing its proprietary ultra-low power ArcticPro eFPGA programmable logic technology. Embedding ArcticPro ultra-low power eFPGA technology is an ideal solution that allows SoCs and ASICs to be customized post-production without expensive and time-consuming redesign. The eFPGA approach also allows developers to create SoC and ASIC platforms that can easily be tailored to serve multiple target applications and increase revenue by providing hardware programmability to their end customers.
QuickLogic was an early innovator of FPGA technology and has shipped over 40 million FPGA devices since it was founded in 1988. The company has most recently leveraged this experience by developing ultra-low-power sensor processing solutions that include eFPGA IP and is now offering that IP to semiconductor companies and OEMs.
"We believe our eFPGA IP enables semiconductor companies and OEMs to offer unique differentiation and the ability to better leverage the rising fixed costs associated with the development of SoC and ASIC devices. This licensing initiative is a potentially highly disruptive business model for both QuickLogic and the semiconductor industry in general," said Brian Faith, president and CEO of QuickLogic Corporation. "With our deep experience in developing FPGA devices and their associated tool suites, including our recently released Aurora software development tools, we are uniquely positioned to support new eFPGA design efforts. Adding this new strategic support center provides local support for our Asian customers and demonstrates our firm commitment to establishing our ArcticPro eFPGA as the de facto standard for embedded FPGA technology."
this snip...
our firm commitment to establishing our ArcticPro eFPGA as the de facto standard for embedded FPGA technology."
NOt majoring in minor things. Nice use of any dilutional $$ for this part owner...better than no dilution and NO support center....as we read more items make real that the IP is worth a multiple of the market cap, just know it.
here is how the job opening reads...again that we KNEW the day it was put up...JAN....use it to make real that this forum knows an awful lot.....
Overview
QuickLogic’s ArcticPro eFPGA is being licensed by several Tier-1 customers for integration into their SoCs. The Sr Application Engineer (AE) will be responsible for supporting QuickLogic’s licensees during Technology porting, customer evaluations, and SoC integration. Strong leadership, problem solving ability, effective communications and positive customer service skills are required.
Key responsibilities include:
- Provide direct customer/partner support during design porting, eFPGA integration into customer SoC.
- Providing front line support for handling customer issues, including replication of customers’ bugs, debugging, reporting and acceptance.
- Create competitive analysis, technical papers and technical collateral
Education, Knowledge & Skills Profile
BS/MS Electronics Engineering with 7+ year experience in digital design area.
5+ years of experience on RTL coding/development in SOC and/or ASIC environment and strong background in logic design skills.
Additional experience in/with:
- Whole Chip integration, Flash/Memory/Analog IP integration, AMBA bus, SPI, I2C and/or other similar peripherals design
- Synthesis using Design Compiler and/or similar tool
- Static Timing Analysis using Primetime and/or similar tool
- Power domain partition and implementation.
- Working with Backend team and knowledge of Backend flow
- DFT/SCAN/Production methodology and/or tools
- RTL Verification and Silicon Validation
- Hands on Perl Scripting or other scripting language
- Excellent communication skills, both written and verbal
- Prior experience working with in multi-site, multi-cultural teams.\
- Big plus FPGA design experience
- Basic understanding of custom design flow
- Good communication skills in English and Mandarin
- This position will require ability to travel internationally without restrictions
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17 minutes ago
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So GFLo FOs FDX efforts are in Dresden. What a complex, mind boggling those foundries.
SMIC is a mainland China outfit.
Our center?
a new support center in Taiwan
this SNIP
eFPGA is being licensed by several Tier-1 customers for integration into their SoCs.
So what can be gleaned. For me its a semi maker, and not the foundry. So we have more resources going in to work hard helping these Several Teir 1s with their SoCs....
So we have reading material one day. Mediatek HQ is Taiwan........will track along.
Nice snip of text...
s local support for our Asian customers and demonstrates our firm commitment to establishing our ArcticPro eFPGA as the de facto standard for embedded FPGA technology."
The precious allocation of resources. The Sensory block was spot on...this is the same?
