Presentation on theme: "EEL4720/5721 Reconfigurable Computing The state-of-the-art Reconfigurable Computing equipment available for this course is made possible by a generous."— Presentation transcript:
EEL4720/5721 Reconfigurable Computing The state-of-the-art Reconfigurable Computing equipment available for this course is made possible by a generous grant from the Rockwell Collins Growth Relationship Grant Program and an equipment/software donation from Nallatech.
Instructors Dr. Greg Stitt Office Hours: TBD (Benton 323) Also, by appointment TA: Yang Zheng
Course Website 2 sites Linked off my website Includes all slides, labs, reading assignments, announcements, etc. Sakai Select Sakai Login with GatorLink account Used for posting grades, turning in projects, student discussions Policy When sending an , include the class name in brackets e.g. [EEL5721] Question about project 2
Grading Grading: Mid-term 1: 25% (Wed. October 15 th ) Mid-term 2: 25% (Fri. December 5 th ) Labs/Homework: 25% Project: 25% Tests will be 50 minutes, during normal class time EDGE students have 3 day window for tests October 15 th -17 th and December 3 th -5 th Final grade: curved average of all components 5721 may possibly have different tests, project, or grading
Lab Assignments Linked off main website Intended to familiarize with FPGA boards, VHDL Initial labs will be individual Groups allowed when using boards There are ~100 students in this class and ~10 boards Will announce group policies when discussing corresponding labs
Research Project 2 options Assigned project Proposed project Assigned project Most of the class will do this project There will several alternatives for different group sizes EDGE students will have a project appropriate for a individual participant EDGE students can participate in groups if desired Important: I will require a minimum number of groups to deal with the few boards Likely 3-4 per group
Research Project, Cont. Proposed project Topic subject to instructor approval Due to the limited number of boards, the proposed project option must be earned Will allow those with best grades or project ideas to do their own project Suggestion: find algorithm in your area of interest, use reconfigurable computing to improve performance Image processing, bioinformatics, physics, chemistry, AI, etc. If interested in research, me later in the semester Will try to find a project that helps towards PhD
Reading Material No required textbook Optional books on website and in syllabus Research papers Check class website for material associated with each lecture Will also post slides when used Important: VHDL resources posted on website
Prerequisites You should be familiar with basics of: Digital design Registers, muxes, adders, finite-state machines, etc. Architecture Controller+Datapath Memories Pipelining Assumes no knowledge of reconfigurable computing or VHDL
Goals Understanding of issues related to RC (reconfigurable computing) Architectures Tools Design methodologies Performance analysis Etc. Detailed investigation of a specific application Research project Publish! Outstanding projects will be submitted to conferences
Academic Dishonesty Unless told otherwise, labs and homework assignments must be done individually All assignments will be checked for cheating Groups must obtain permission to use larger size May be allowed for difficult projects Collaboration is allowed (and encouraged), but within limits Can discuss problems, how to use tools etc. Cannot show code, solutions, etc. I will be using automatic cheat checking Cheating penalties First instance - 0 on corresponding assignment Second - 0 for entire class
Attendance Policy Attendance is optional, but highly recommended If you are not an EDGE student, please don’t disappear! I answer a lot of questions before and after lecture I will not be pleased if you come to my office or send me an with the same questions If you are sick, stay at home! If obviously sick, you will be asked to leave Missed tests can be retaken with doctor’s note
What is Reconfigurable Computing? Reconfigurable computing (RC) is the study of architectures that can adapt (after fabrication) to a specific application or application domain Involves architecture, tools, CAD, design automation, algorithms, languages, etc.
What is Reconfigurable Computing? Alternatively, RC is a way of implementing circuits without fabricating a device Essentially allows circuits to be implemented as “software” Circuits are no longer synonymous with hardware RC devices are programmable by downloading bits, just like microprocessors Difference is that microprocessor bits specify instructions, whereas RC bits specify circuit structures Processor … Bits loaded into program memory Microprocessor Binaries b a c x y FPGA Binaries (Bitfile) Processor FPGA 0010 … Bits loaded into logic blocks, switch matrices, memories, etc.
Why is RC important? Performance Often orders of magnitude faster than microprocessors Low power consumption A few RC devices can provide similar performance as large cluster at a fraction of the power Also smaller, cheaper, etc. Motivating example: Novo-G FPGA-based supercomputer 192 large Altera Stratix III FPGAs 24 Linux nodes Speedups of 100,000x to 550,000x for computation biology apps (compared to 2.4 GHz Opteron) Performance similar to top supercomputers However, power consumption is only 8 kilowatts compared to 2-7 megawatts