1. DIPARTIMENTO DI ELETTRONICA E INFORMAZIONE Novel, Emerging Computing System Technologies Smart Technologies for Effective Reconfiguration: The FASTER approach May 29 th – 31 st 2013 International Conference on IC Design and Technology Pavia, Italy M. D. Santambrogio, C. Pilato, D. Pnevmatikatos, K. Papadimitriou, D. Stroobandt, D. Sciuto http://www.fp7-faster.eu/

2. Reconfigurable Technology Technology for adaptable hardware systems  Can add/remove components at run-time/product lifetime  Flexibility at hardware speed (not quite ASIC)  Parallelism at hardware level (depending on application)  Ideally: alter function & interconnection of blocks Implementation in:  FPGAs: fine grain, complex gate plus memory and DSP blocks  Coarse Grain (custom) chips: multiple ALUs, multiple (simple) programmable processing blocks, etc. 2

3. An issue as a new opportunity Programming has become very difficult  Impossible to balance all constraints manually 3 More computational horse-power than ever before  Cores are free, reconfigurable logic available on chip, cores can be heterogeneous Energy is new constraint  Software must become energy and space aware Modern computing systems need to be flexible and adaptive  To optimize and meet their requirements taking advantage as much as possible of the underlying complex heterogeneous architectures

4. FASTER Motivation Creating reconfigurable systems is not straightforward!  Reconfiguration cost is substantial (use wisely)  Tool support for these tasks is still quite basic  Resource management is up to the user  The designer has to:  Identify portions to be reconfigured  Establish a schedule that (a) respects dependencies (b) achieves performance and other constraints  Manage the system resources (also at run-time)  Verify a changing system! 4

5. FASTER Goals and Innovation Include reconfigurability as an explicit design concept in computing systems design, along with methods and tools that support run-time reconfiguration in the entire design methodology  Provide a framework for analysis, synthesis and verification of a reconfigurable system  Provide efficient and transparent runtime support for partial and dynamic reconfiguration, including micro-reconfiguration Demonstrate usability & performance on commercial applications and platforms (Maxeler, ST Microelectronics, Synelixis) 5

6. FASTER Platforms Bridging the gap between HPC and embedded systems  Opportunities and challenges of reconfiguration in both the domains High-Performance Computing Systems  Maxeler MPC MaxWorkstation FPGA-based Embedded Systems  Xilinx University Program Board (XUPV5-LX110T)  AVNET Zedboard (SoC XC7Z020) 6

7. FASTER: Overall Methodology 7

8. Design Phase and Runtime Support Define a reconfiguration-aware design methodology that exploits FPGAs:  Generate hardware and software components (including runtime support) on the top of existing vendor flows Exploit dynamic reconfigurability for different target reconfigurable architectures.  Both HPC and embedded systems Define and implement a new generation of self reconfigurable architectures based on Linux 8

9. System analysis and design 9.c Task Graph Generation High Level Analysis DFG Extraction Static Baseline Scheduling Partitioning and Optimizations Partitioning and Optimizations Run-time Support and Verification.xml.c.xml -Architecture -Additional application information -Annotated source code (C+OpenMP) -Source code for CPU -DFGs for HW blocks -Mapping Configurations Mapping and Floorplanning -HLS -System generation.xml

10. Identifying Level of Reconfigurability Assigning each task of the application to the “best” processing element  Reconfiguration is implicitly considered Based on a metaheuristic iterative algorithm 10 Objectives: function of occupation area, execution time, power, number of reconfigurations etc... T1 T2T3T4 T5 Architectural Template XML MAP Mapping MAP Iterative, multi objectives: -Runtime -Power -Area -… Convergence Library XML Platform Specification XML

11. Micro-reconfiguration Optimization In some applications we can identify hardware accelerators with slow ‐ changing “parameters”  Filter coefficients Parameters trigger a small-scale reconfiguration Design of cores based on Tunable FPGA blocks:  Identify parameters  Create bitfile with “holes”  Parameter values => reconfiguration bits for missing “holes”  Fine grain, faster reconfiguration time! 11

12. Verifying Reconfigurable Systems Study design validation approaches: simulation, emulation and formal verification Extend symbolic simulation to dynamic aspects of reconfigurable design In some cases static approaches may not be able to verify the entire RC system  We use run ‐ time verification. Address and minimize impact on: Speed, area and power Light ‐ weight architectural support 12

13. Run-time System Evaluate reconfiguration overhead Propose advanced mechanisms to support  Scheduling  Dynamic reconfiguration (including micro- reconfiguration)  Run-time verification Provide run-time support for dynamic reconfiguration based on static analysis  Extension of OS capabilities  Efficient on-line scheduling and placement of task modules 13

14. OS-based Management Provide software support for dynamic partial reconfiguration on a Linux-based operating systems  Reconfiguration process managed from the OS in a transparent way Hardware-independent interface for software developers based on the GNU/Linux  Addition and removal of reconfigurable components Easier programming interface for specific drivers  OS customization for specific architectures 14

15. Expected Results and Conclusions FASTER is a focused project that builds on combined partners expertise as well as on past research work and projects We focus on (and hope to demonstrate):  productivity improvement in implementation and verification of dynamically changing systems  total ownership cost reduction (NIDS and RTM systems)  performance improvement under power constraints for Global Illumination and Image Analysis application 15

16. Challenges & Opportunities Tool support for analysis and system definition Specification of changing system(s) Reconfigurable granularity: influenced by tools and applications Architectural support for reconfiguration (vendor?) Metrics: include design effort/time, total ownership cost 16