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 ...

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 ...

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 ...

This results in a design flow for FPGAs that is similar to the functionality obtained through the use of the embedded MATLAB block (Figure 3). You can capture the system aspects of the design using ...

CoDeveloper for Virtex-4 allows software programmers and FPGA designers to describe parallel algorithms for image processing, DSP, encryption and other processing-intensive applications using standard ...

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 ...

Therefore, the effective time for each block is 2,050 ns, which yields the above pixel rate. To assess those results, we have run the same BTC algorithm on a Pentium III 550-MHz processor where a 372 ...

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 ...

Algorithms are usually defined in an executable format. C or MATLAB are the two most common languages and many developers throw out the executable specification to rewrite the algorithm in RTL, which ...

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