FPGA Daily News #037
- FPGAs for AI and AI for FPGAs | OSFPGA - webinar
Artificial Intelligence (especially Deep Learning) is rapidly becoming the cornerstone of numerous applications, creating an ever-increasing demand for efficient Deep Learning (DL) processing. FPGAs provide massive parallelism, while being flexible and easily configurable, and also fast and power efficient. These unique properties make them appealing for DL acceleration in both data center and edge use cases.
- RISC-V fpga Understanding Computer Architecture In-person Workshop-Sep 9th Tickets, Fri 9 Sep 2022 at 09:00 | Eventbrite
Teaching Computer Architecture? Give us a day of your time, and we will set you up to teach with RISC-V, the fastest growing new ISA
- BittWare Announces PCIe 5.0/CXL FPGA Accelerators Featuring Intel Agilex M-Series and I-Series
BittWare, a leading supplier of enterprise-class accelerators for edge and cloud-computing applications, introduced new card and server-level solutions featuring Intel Agilex FPGAs.
- How Today’s FPGAs are Taming the Data Deluge Problem From Gen5 to AI, NOCs to RF at the Edge
Technology-driven advances like 5G and autonomous vehicles are generating a data deluge that’s beyond current-generation solutions for moving, storing and processing that information. Thankfully, a range of new advances in those same challenging areas are emerging, including PCIe Gen5 for data movement, AI for automated analytics processing and more powerful processing at the edge. Three experts in these areas will discuss these emerging solutions with specific examples of hardware and software/IP with a focus on FPGA-based solutions. The presentation will be in a panel discussion format, with an opportunity for live attendees to ask questions through chat. Register today and join us live! Panelists: - Jeff Milrod, Chief Technical and Strategy Officer, Bittware - Stephen Bates, CTO, Eideticom - Shepard Siegel, CTO, Atomic Rules
- FPGAs for AI and AI for FPGAs - Marketing EDA
Artificial Intelligence (especially Deep Learning) is rapidly becoming the cornerstone of numerous applications, creating an ever-increasing demand for efficient Deep Learning (DL) processing. FPGAs provide massive parallelism, while being flexible and easily configurable, and also fast and power efficient. These unique properties make them appealing for DL acceleration in both data center and edge use… Read More »FPGAs for AI and AI for FPGAs
- Finite State Machine
Introduction to FSM Design
- Simplifying full-stack FPGA development right from RTL to Software — 1st CLaaS on PYNQ ! (Part 1) | by Shrihari | Aug, 2022 | Medium
Deploying Field Programmable Gate Arrays, beyond classroom and research prototyping, extends outside the ideology of RTL to bitstream…
- Porting GNOME OS to Microchip's PolarFire® SoC FPGA Icicle Kit for the First Time | Microchip - RISC-V International
- FSM Design using Verilog
FSM Design Using Synthesizable Verilog Constructs
- Doulos How it Works - Object Detection on an FPGA
These one hour training sessions are presented by Subject Matter Specialists and include live interactive Q&A support from the Doulos team throughout. Registration and attendance is completely FREE!
- FPGA-as-a-Service: To Accelerate Your Big Data Workloads with FPGA – Databricks
The big data platform is evolving to be heterogeneous while the dark silicon is coming. As a candidate, FPGA has been noticed across the industry because of its performance-per-power efficiency, re-programmable flexibility and wide range of applicableness. Various IP developed on FPGA could potentially boost growing big data and AI workload on the platform. However,...
- DIRECTOR's TALK - 17+ YEARS OF EXPERIENCE IN ASIC & FPGA DESIGN | PRACTICE HEAD OF DESIGN, @Wipro - YouTube
DIRECTOR's TALK - 17+ YEARS OF EXPERIENCE IN ASIC & FPGA DESIGN | PRACTICE HEAD OF DESIGN, @Wipro | EX-ASSOCIATE DIRECTOR, ASIC DESIGN, SAMSUNG ELECTRONICS ...
- Motion Control Prototyping and PLC Testing in Automation Industry | Speedgoat
- ASIC vs FPGA in chip design
If off-the-shelf silicon isn’t providing what you need, it’s never been easier to design and build your own.
- Deep Learning Part 3/4. Current Hardware for Deep Learning… | by Sanjay Basu, PhD | my_aiml | Aug, 2022 | Medium
Current Hardware for Deep Learning Computational Needs
- FPGA and DSP ep. 2: Implementing a folded FIR filter on FPGA - YouTube
#Xilinx #FPGA #DSP #FIRThis video is meant to improve the previously discussed filter that uses one multiplication per coefficient. The result is almost doub...
- BittWare Announces PCIe 5.0/CXL FPGA Accelerators Featuring Intel Agilex M-Series and I-Series to Drive Memory and Interconnectivity Improvements while Reducing Risk - Electronics Today
BittWare joins Intel Agilex M-Series Early Access Program to jumpstart development of FPGA solutions for memory-intensive applications BittWare creates broadest portfolio of enterprise-class Intel FPGA-based accelerators with addition of two new Intel Agilex I-Series SmartNIC accelerators Decades-long collaboration with Intel provides customers with access to products for high-performance compute, computational storage, network and sensor processing […]
- Podcast EP98: How Menta is revolutionizing embedded FPGA deployment - SemiWiki
Dan is joined by Dr. Yoan Dupret, the Managing Director and CTO of Menta – a leader in embedded FPGA IP cores for chips and smart sensors. Yoan explores the impact Menta's embedded FPGAs are having on current designs. The reasons for Menta's success and where the impact will be in the future are both…
- Antmicro · Extending the open source Rowhammer testing framework to DDR5
- Quazar Quad Partition Rate Memories « MoSys
Mosys | More Than Memory
- Interview with Lattice Semiconductor: How FPGAs Solve Today’s Technology Trend Challenges - YouTube
Lattice Head of R&D Steve Douglass sat down with Editor-in-Chief of Design&Elektronik, Joachim Kroll at Embedded World Exhibition & Conference 2022 to discus...
- Edge Server Applications Expanding – Accton Technology
Edge Server Applications Expanding What are Edge Computing Devices? A huge amount of data is generated every day, and an increasing percentage of that data is collected from small devices at the edge of networks. IoT (Internet of Things) devices, industrial sensors, security systems, and increasingly
- Such Programming - Mad Computer Science – Part 0 – Intro
- PCIe Gen5 x16 Running on the VectorPath Accelerator Card | Achronix Semiconductor Corporation
In this demo, Achronix engineers show the VectorPath Accelerator Card successfully linking up to a PCIe Gen5 x16 host and write data to and read data from GDDR6 memory. The VectorPath accelerator card featuring the Speedster7t 7t1500 is one of the first FPGAs that can natively support this interface within its PCIe subsystem.
- Live panel discussion on FPGAs with BittWare, Eideticom and Atomic Rules
Register for Wednesday 10am Central "How Today’s FPGAs are Taming the Data Deluge Problem From Gen5 to AI, NOCs to RF at the Edge" Live Panel Discussion This Wednesday with FPGA Experts from BittWare,
- BittWare Announces PCIe 5.0/CXL FPGA Accelerators Featuring Intel Agilex M-Series and I-Series to Drive Memory and Interconnectivity Improvements while Reducing Risk