High Performance Computing with FPGAs and OpenCL (2018).pdf
1.9 MB
High Performance Computing with FPGAs and OpenCL (2018)
TLS Handshake Hardware Accelerator
https://www.linkedin.com/posts/silexinsight_tls-handshake-hardware-accelerator-ugcPost-6679035478798303232-lX-O/
https://www.linkedin.com/posts/silexinsight_tls-handshake-hardware-accelerator-ugcPost-6679035478798303232-lX-O/
Linkedin
Silex Insight on LinkedIn: TLS Handshake Hardware Accelerator
Hardware vs. software to offload the compute intensive Public Key Operations (Diffie-Hellman, Signature Generation and Verification)? The choice is yours...
"The Intel Stratix 10 NX FPGA embeds a new type of AI-optimized block called the AI Tensor Block, which delivers up to 15X more INT8 compute performance than today’s Stratix 10 MX."
https://blogs.intel.com/psg/intel-stratix-10-nx-fpga
https://blogs.intel.com/psg/intel-stratix-10-nx-fpga
Intel
Intel has just announced its first AI-optimized FPGA – the Intel® Stratix® 10 NX FPGA – to address the rapid increase in AI model…
FPGAs have been used in the area of hardware customization for decades. The hardware customization capability taps into the value proposition of FPGAs such as pipelining for applications that require low batch size and low latency, and flexible fabric and…
Packing 4x Int4*UInt4 MACs in a single Xilinx DSP
https://www.xilinx.com/support/documentation/white_papers/wp521-4bit-optimization.pdf
#Xilinx #Int4
https://www.xilinx.com/support/documentation/white_papers/wp521-4bit-optimization.pdf
#Xilinx #Int4
Virtual summit on June, 25.
https://www.nextplatform.com/2020/02/08/the-next-ai-platform-2020-edition-march-10-san-jose
https://www.nextplatform.com/2020/02/08/the-next-ai-platform-2020-edition-march-10-san-jose
The Next Platform
The Next AI Platform: 2020 Edition
The Next AI Platform is going virtual for 2020. This was, of course, not the plan. We had been looking forward to another packed event in San Jose back in
Groq's presentation for the ISC2020
https://www.youtube.com/watch?v=uJbTEXFAsLs
https://www.youtube.com/watch?v=uJbTEXFAsLs
YouTube
Groq's Tensor Streaming Processor
Groq's presentation for the ISC2020 Machine-Learning Hardware Workshop.
Link to slides: https://mlhardware.github.io/2020/groq.pdf
Submit your questions for the Q/A session on June 25 on https://mlhardware.github.io
Link to slides: https://mlhardware.github.io/2020/groq.pdf
Submit your questions for the Q/A session on June 25 on https://mlhardware.github.io
Principal engineers from Intel and Xilinx talk about SYCL
https://connectedsocialmedia.com/18630/collaborating-to-build-a-heterogeneous-future/
https://connectedsocialmedia.com/18630/collaborating-to-build-a-heterogeneous-future/
Connectedsocialmedia
Collaborating to Build a Heterogeneous Future | Connected Social Media
Bluespec Haskell online lecture
https://www.linkedin.com/posts/jonathan-ross-12a95156_icfp-2020-tutorials-icfp-2020-activity-6697375521589878784-P9GV/
https://www.linkedin.com/posts/jonathan-ross-12a95156_icfp-2020-tutorials-icfp-2020-activity-6697375521589878784-P9GV/
Linkedin
Jonathan Ross posted on LinkedIn
I'll be teaching a tutorial "Designing Hardware Systems and Accelerators with Open-Source BH (Bluespec Haskell)" on Aug 23 at #ICFP2020 (online). Info ...
Registration to ICFP2020:
https://icfp20.sigplan.org/attending/Registration
https://icfp20.sigplan.org/attending/Registration
icfp20.sigplan.org
Registration - ICFP 2020
ICFP 2020 is the 25th ACM SIGPLAN International Conference on Functional Programming. The conference was a virtual event during the dates of August 23-26, 2020 and all activities took place online.
The main program featured two keynotes, technical presentations…
The main program featured two keynotes, technical presentations…
Quote:
The DARPA RTML program seeks to create no-human-in-the-loop hardware generators and compilers to enable fully automated creation of ML Application-Specific Integrated Circuits (ASICs) from high level source code.
The DARPA RTML program seeks to create no-human-in-the-loop hardware generators and compilers to enable fully automated creation of ML Application-Specific Integrated Circuits (ASICs) from high level source code.