Xilinx FPGA Design Tools for Linux
A field programmable gate array (FPGA) is a user-programmable piece of silicon constructed in very large-scale integration (VLSI) technology. The VLSI transistor-level detail is absolutely predefined in an FPGA. Internally, the FPGA consists of a matrix-like fabric of logic and interconnect elements that are inherently flexible. Flexibility is accomplished through programmable SRAM memory cells that define the silicon resources. FPGAs are standard commodity parts with trillions of possible user configurations. This essential organizational structure of the FPGA has persisted through two decades of VLSI technology development. However, today's FPGAs are utterly unlike those of yesteryear.
FPGAs are blurring the lines between hardware and software in systems. FPGA devices are inherently soft-programmable and may be changed dynamically during the operation of a system. More compellingly, FPGA devices now also contain embedded microprocessors within the logic fabric, and these microprocessors can run Linux. Imagine a Linux computer with up to millions of gates of flexible logic immediately around it. One way to grok this new paradigm is to think of the following: “Software is configuration bits for hardware.”
FPGA design is custom silicon design with less effort than full-custom VLSI design. Besides processor cores, FPGAs today not only have logic gates and flip-flops, they also have large Block RAMs, embedded hardware multipliers, arithmetic acceleration logic, digital clock managers (DCMs) for frequency synthesis, multistandard system I/O cells with programmable line termination and multi-gigabit transceivers (MGTs). These system-oriented resources, along with the kinds of device packages and user I/O counts, are enumerated in Figure 1, which shows the most advanced of the FPGA devices, the Xilinx Virtex-II Pro family.
The technology of VLSI memory is everything in this equation—FPGAs are in the realm of commodity silicon manufacturing and typically have better silicon wafer yields than custom VLSIs. Following Moore's Law, FPGAs, much like DRAM and other advanced memory products, are the lead silicon technology drivers, pushing the most advanced 300mm wafer technology at deep submicron densities.
In this article, we introduce the most recent Xilinx FPGA design tools. The design tools are called the Integrated Software Environment, or ISE. These design tools are now released for the Linux platform as the Xilinx ISE 6.1i tools for Linux. This allows FPGA design on a platform having very low total cost of ownership.
Designing with an FPGA device is both different from and similar to programming microprocessors in a language such as C. Hardware description languages (HDLs) are used to design logic at a high level. Verilog and VHDL are the most popular HDLs in industry practice, and ISE 6.1i supports both. These languages allow description of hardware in structural or behavioral terms, or as a mix of both. HDLs are the input source code for specialized compilers, which either synthesize logic for a target or allow it to be simulated. Here, our focus is on logic synthesis, with an inside look at the FPGA and, finally, generation of the configuration bitstream with the ISE 6.1i tools.
One way logic is different from software is that it's inherently parallel. HDLs can describe numerous concurrent changes directly, unlike the major programming languages, for example, when specifying synchronous changes in a logic circuit based on the rising edge of a clock signal. In logic design, as contrasted with programming, one is often describing something that takes area, not memory. Both logic and programs require that time elapses during operation, and our preference is normally that it be very little time. As we will see, the ISE 6.1i design tools can help with both area and time optimization.
This article covers the basic steps in entering a simple but interesting design in Verilog and explores some of the capabilities of the tool. We also look inside the FPGA device configuration. See Resources for more information about the Verilog HDL. Additionally, refer to the July 2002 issue of LJ (/article/6001) for an article on a free Verilog tool, which also contains a Verilog tutorial.
For this tour, we synthesize a 16-bit pipelined parallel multiplier by specifying it with behavioral Verilog. We use synthesis to create and evaluate this result. Then, we use the implementation tools in ISE 6.1i to create a configuration for a particular Virtex-II Pro FPGA device. Various options of the toolchain are explained in the process, including a way to look inside the implemented FPGA.
After the software is installed, we open a shell and begin. The process starts by typing ise at the command line. This brings up the Project Navigator, which is the screen shown in Figure 2. To start a new FPGA design project, select a new project under the File menu. This brings up the window shown in Figure 3. Here, we enter a project name, MPY-TEST, and indicate the kind of top-level module we're going to use for this project. We are interested in an HDL top-level module for this tour, but ISE 6.1i allows the use of several other top-level module types.
Realizing the promise of Apache® Hadoop® requires the effective deployment of compute, memory, storage and networking to achieve optimal results. With its flexibility and multitude of options, it is easy to over or under provision the server infrastructure, resulting in poor performance and high TCO. Join us for an in depth, technical discussion with industry experts from leading Hadoop and server companies who will provide insights into the key considerations for designing and deploying an optimal Hadoop cluster.
Sponsored by AMD
If you already use virtualized infrastructure, you are well on your way to leveraging the power of the cloud. Virtualization offers the promise of limitless resources, but how do you manage that scalability when your DevOps team doesn’t scale? In today’s hypercompetitive markets, fast results can make a difference between leading the pack vs. obsolescence. Organizations need more benefits from cloud computing than just raw resources. They need agility, flexibility, convenience, ROI, and control.
Stackato private Platform-as-a-Service technology from ActiveState extends your private cloud infrastructure by creating a private PaaS to provide on-demand availability, flexibility, control, and ultimately, faster time-to-market for your enterprise.
Sponsored by ActiveState
| Speed Up Your Web Site with Varnish | Jun 19, 2013 |
| Non-Linux FOSS: libnotify, OS X Style | Jun 18, 2013 |
| Containers—Not Virtual Machines—Are the Future Cloud | Jun 17, 2013 |
| Lock-Free Multi-Producer Multi-Consumer Queue on Ring Buffer | Jun 12, 2013 |
| Weechat, Irssi's Little Brother | Jun 11, 2013 |
| One Tail Just Isn't Enough | Jun 07, 2013 |
- Speed Up Your Web Site with Varnish
- Containers—Not Virtual Machines—Are the Future Cloud
- Linux Systems Administrator
- Lock-Free Multi-Producer Multi-Consumer Queue on Ring Buffer
- Senior Perl Developer
- Technical Support Rep
- Non-Linux FOSS: libnotify, OS X Style
- UX Designer
- Web & UI Developer (JavaScript & j Query)
- RSS Feeds
- It is quiet helping
1 hour 26 min ago - Technology
1 hour 43 min ago - Reachli - Amplifying your
3 hours 2 sec ago - excellent
3 hours 48 min ago - good point!
3 hours 51 min ago - Varnish works!
4 hours 48 sec ago - Reply to comment | Linux Journal
4 hours 30 min ago - Reply to comment | Linux Journal
6 hours 56 min ago - Reply to comment | Linux Journal
10 hours 56 min ago - Yeah, user namespaces are
12 hours 12 min ago
Featured Jobs
| Linux Systems Administrator | Houston and Austin, Texas | Host Gator |
| Senior Perl Developer | Austin, Texas | Host Gator |
| Technical Support Rep | Houston and Austin, Texas | Host Gator |
| UX Designer | Austin, Texas | Host Gator |
| Web & UI Developer (JavaScript & j Query) | Austin, Texas | Host Gator |
Free Webinar: Hadoop
How to Build an Optimal Hadoop Cluster to Store and Maintain Unlimited Amounts of Data Using Microservers
Realizing the promise of Apache® Hadoop® requires the effective deployment of compute, memory, storage and networking to achieve optimal results. With its flexibility and multitude of options, it is easy to over or under provision the server infrastructure, resulting in poor performance and high TCO. Join us for an in depth, technical discussion with industry experts from leading Hadoop and server companies who will provide insights into the key considerations for designing and deploying an optimal Hadoop cluster.
Some of key questions to be discussed are:
- What is the “typical” Hadoop cluster and what should be installed on the different machine types?
- Why should you consider the typical workload patterns when making your hardware decisions?
- Are all microservers created equal for Hadoop deployments?
- How do I plan for expansion if I require more compute, memory, storage or networking?







Comments
It's a useful article for
It's a useful article for learners.
Thq so much bec' i'm a learner on this topic.