EEL4720/5721 Reconfigurable Computing

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EEL4720/5721 Reconfigurable Computing Greg Stitt Associate Professor

Instructors Dr. Greg Stitt TAs gstitt@ufl.edu http://www.gstitt.ece.ufl.edu Office Hours: M Period 2, W Period 4 (Benton 323) Also, by appointment TAs Pawel Cieslewski (pawel@ufl.edu) Seyed Mehrdad Hashemi (hashemi@ufl.edu)

Course Website 2 sites Canvas Email Policy http://www.gstitt.ece.ufl.edu/courses/eel4720_5721/ Linked off my website Includes all slides, labs, reading assignments, announcements, etc. Canvas http://lss.at.ufl.edu/ Select Canvas Login with GatorLink account Used for posting grades, turning in projects, student discussions Email Policy When sending an email, include the class name in brackets e.g. [EEL5721] Question about project 2

Grading Tests will be 50 minutes, during normal class time Mid-term 1: 25% (Mon. October 10th) Mid-term 2: 25% (Wed. December 7th) Labs: 25% Project: 25% Tests will be 50 minutes, during normal class time EDGE students have 3 day window for tests October 10th-12th and December 5th-7th Final grade: curved average of all components 5721 may possibly have different tests, project, or grading

Lab Assignments Linked off main website http://www.gstitt.ece.ufl.edu/courses/eel4720_5721/labs/ 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 Likely 2 people per group

Research Project 2 options Assigned project Proposed project Most of the class will do this project There will be 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 small number of boards

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, email me later in the semester Will try to find a project that helps towards PhD

Reading Material No required textbook Research papers 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 email 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 b a c x y Microprocessor Binaries FPGA Binaries (Bitfile) 001010010 001010010 Bits loaded into program memory Bits loaded into logic blocks, switch matrices, memories, etc. Processor Processor FPGA 0010 … 0010 …

Why is RC important? Performance Low power consumption 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

Reminders URGENT Read RC survey linked off website Lab 0 – Vivado and VHDL Tutorial Start reading VHDL tutorial on class website Read RC survey linked off website