The NSF has funded projects that will investigate how deep learning algorithms run on FPGAs and across systems using the high-performance RDMA interconnect. Another project, led by Andrew Ng and ...

You design through a parameter-entry screen, and the system automatically generates configuration code for an FPGA that is at the heart of the control scheme. The performance, which IR says greatly ...

The AcceDSP synthesis tool enables System Generator for DSP to support both DSP system and algorithm modeling methods by generating System Generator IP blocks based on floating-point MATLAB models.

Using a design flow put together by Mentor Graphics and Altera, designers can implement complex DSP algorithms in high-performance FPGAs directly from ANSI C++ code. The flow, which is based on ...

Harris explained the idea behind the project: “We were inspired after talking to a few people who had been working on machine learning with FPGAs from the Microsoft brainwave team, and seeing on ...

In the last couple of years, we have written and heard about the usefulness of GPUs for deep learning training as well as, to a lesser extent, custom ASICs and FPGAs. All of these options have shown ...

Posted in Microcontrollers, Video Hacks Tagged fpga, lcd, LQ043T3DX02, psp, sharp, tft ← Retro Hardware Mash-up Spouts Archaic Geekery Projection Screen Using Latex Paint And Sand Blasting Beads → ...

As Yao says, “the algorithm designer doesn’t need to know anything about the underlying hardware. This generates instruction instead of RTL code, which leads to compilation in 60 seconds.” This is the ...

Adam P. Taylor, EADS Astrium EETimes (5/12/2012 11:14 AM EDT) Most engineers tasked with implementing a mathematical function such as sine, cosine or square root within an FPGA may initially think of ...

CIOL Bureau 11 Nov 2007 00:00 IST Updated On 11 Nov 2007 07:26 IST Follow Us New Update ...