Difference between revisions of "BigPULP: Multicluster Synchronization Extensions"
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[[File:Pulpjuno.png|thumb|800px]] | [[File:Pulpjuno.png|thumb|800px]] | ||
==Intro== | ==Intro== | ||
− | With the PULP platform, the IIS actively develops a manycore platform for ultra-low power operation and leading-edge energy-efficieny together with the EEES group of UNIBO. This co-operation has already led to a substantial number of tape outs of various single-cluster PULP configurations in multiple technology nodes [1]. A key component | + | With the PULP platform, the IIS actively develops a manycore platform for ultra-low power operation and leading-edge energy-efficieny together with the EEES group of UNIBO. This co-operation has already led to a substantial number of tape outs of various single-cluster PULP configurations in multiple technology nodes [1]. A key component allowing for high energy-efficiency is the Event Unit Flex, i.e., a highly versatile, programmable, cluster-internal module that enables the fast synchronization of cores, peripherals and DMA engines using barriers, mutexes, job dispatching, interrupts and events with low overhead only. |
− | Besides ultra-low power operation, the project also aims at designing a platform that is highly scalable and features widely-tunable performance, e.g., to use use PULP as a high-performance parallel accelerator in heterogeneous systems. To this end, we have | + | Besides ultra-low power operation, the PULP project also aims at designing a platform that is highly scalable and features widely-tunable performance, e.g., to use use PULP as a high-performance parallel accelerator in heterogeneous systems. To this end, we also study the seamless integration of PULP-like, programmable many-core accelerators into embedded heterogeneous SoCs built around an ARM Cortex-A like multicore CPU (the host). Within the project, we have developed |
+ | : a multi-ISA compile toolchain automating the offloading of highly-parallel OpenMP function kernels from the host CPU to the accelerator [2], and | ||
+ | : a mixed hardware/software solution enabling lightweight shared virtual memory (SVM) between host CPU and accelerator [3,4], | ||
+ | both dramatically simplifying the programmability of such a heterogeneous system. | ||
==Short Description== | ==Short Description== | ||
− | + | Recently, we have set up operation of our new bigPULP evaluation platform [5] based on the Juno ARM Development Platform [6]. This system combines a modern ARMv8 multicluster CPU with a Xilinx Virtex-7 XC7V2000T FPGA [7] capable of implementing PULP [1] with 4 to 8 clusters and a total of 32 to 64 cores. | |
+ | |||
+ | While the current implementation of the Event Unit Flex and the corresponding software infrastructure support basic synchronization across cluster boundaries, it is highly optimized for intra-cluster operation. The goal of this project is to extend the current infrastructure, e.g., with a SoC message passing framework, to facilitate and improve the synchronization among multiple clusters. | ||
+ | |||
+ | While the overall platform is of considerable complexity, the exact task description can be tailored to match your background knowledge and needs before the project starts: Just make sure to contact us in advance! | ||
You can start from an existing IP block designed in a previous project. This IP is equipped with proprietary interfaces and needs to be adapted to use the widely adopted AXI4 protocol [6], which has built-in cache control signals that shall be used by your new IP. Besides designing the IP, your job is also to develop a set of testbenches to verify the functionality and analyze the design. The work primarily targets the implementation on the Xilinx Virtex-7 FPGA but if desired, an ASIC back-end design can also be implemented. | You can start from an existing IP block designed in a previous project. This IP is equipped with proprietary interfaces and needs to be adapted to use the widely adopted AXI4 protocol [6], which has built-in cache control signals that shall be used by your new IP. Besides designing the IP, your job is also to develop a set of testbenches to verify the functionality and analyze the design. The work primarily targets the implementation on the Xilinx Virtex-7 FPGA but if desired, an ASIC back-end design can also be implemented. | ||
Line 16: | Line 23: | ||
===Character=== | ===Character=== | ||
: 20% Theory, Algorithms and Simulation | : 20% Theory, Algorithms and Simulation | ||
− | : 50% VHDL, FPGA/ASIC Design | + | : 50% Implementation (VHDL, FPGA/ASIC Design, C) |
: 30% Verification | : 30% Verification | ||
===Prerequisites=== | ===Prerequisites=== | ||
− | |||
: VHDL/System Verilog, C | : VHDL/System Verilog, C | ||
+ | : The details of the project | ||
===Professor=== | ===Professor=== | ||
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===References=== | ===References=== | ||
# PULP [http://iis-projects.ee.ethz.ch/index.php/PULP link] | # PULP [http://iis-projects.ee.ethz.ch/index.php/PULP link] | ||
− | # | + | # A. Capotondi, A. Marongiu, "Enabling Zero-Copy OpenMP Offloading on the PULP Many-Core Accelerator", ''Proceedings of the 20th International Workshop on Software and Compilers for Embedded Systems (SCOPES'17)'', Sankt Goar, Germany, 2017 [http://dl.acm.org/citation.cfm?id=3079071 link] |
− | |||
− | |||
− | |||
# P. Vogel, A. Marongiu, L. Benini, "Lightweight Virtual Memory Support for Zero-Copy Sharing of Pointer-Rich Data Structures in Heterogeneous Embedded SoCs", ''IEEE Transactions on Parallel and Distributed Systems, vol. 28, no. 7'', 2017. [http://ieeexplore.ieee.org/document/7797491/ link] | # P. Vogel, A. Marongiu, L. Benini, "Lightweight Virtual Memory Support for Zero-Copy Sharing of Pointer-Rich Data Structures in Heterogeneous Embedded SoCs", ''IEEE Transactions on Parallel and Distributed Systems, vol. 28, no. 7'', 2017. [http://ieeexplore.ieee.org/document/7797491/ link] | ||
+ | # P. Vogel, A. Kurth, J. Weinbuch, A. Marongiu, L. Benini, "Efficient Virtual Memory Sharing via On-Accelerator Page Table Walking in Heterogeneous Embedded SoCs", ''To appear in ESWEEK special issue of ACM Transactions on Embedded Computer Systems'' | ||
+ | # P. Vogel, "PULPonFPGA Howto", ''DZ EDA Wiki entry'' [http://eda.ee.ethz.ch/index.php/PULPonFPGA_Howto link] | ||
# Juno ARM Development Platform [http://www.arm.com/products/tools/development-boards/versatile-express/juno-arm-development-platform.php link] | # Juno ARM Development Platform [http://www.arm.com/products/tools/development-boards/versatile-express/juno-arm-development-platform.php link] | ||
# Xilinx Virtex-7 XC7V2000T FPGA [http://www.xilinx.com/support/documentation/data_sheets/ds180_7Series_Overview.pdf link] | # Xilinx Virtex-7 XC7V2000T FPGA [http://www.xilinx.com/support/documentation/data_sheets/ds180_7Series_Overview.pdf link] | ||
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[[#top|↑ top]] | [[#top|↑ top]] |
Revision as of 12:40, 17 July 2017
Contents
Intro
With the PULP platform, the IIS actively develops a manycore platform for ultra-low power operation and leading-edge energy-efficieny together with the EEES group of UNIBO. This co-operation has already led to a substantial number of tape outs of various single-cluster PULP configurations in multiple technology nodes [1]. A key component allowing for high energy-efficiency is the Event Unit Flex, i.e., a highly versatile, programmable, cluster-internal module that enables the fast synchronization of cores, peripherals and DMA engines using barriers, mutexes, job dispatching, interrupts and events with low overhead only.
Besides ultra-low power operation, the PULP project also aims at designing a platform that is highly scalable and features widely-tunable performance, e.g., to use use PULP as a high-performance parallel accelerator in heterogeneous systems. To this end, we also study the seamless integration of PULP-like, programmable many-core accelerators into embedded heterogeneous SoCs built around an ARM Cortex-A like multicore CPU (the host). Within the project, we have developed
- a multi-ISA compile toolchain automating the offloading of highly-parallel OpenMP function kernels from the host CPU to the accelerator [2], and
- a mixed hardware/software solution enabling lightweight shared virtual memory (SVM) between host CPU and accelerator [3,4],
both dramatically simplifying the programmability of such a heterogeneous system.
Short Description
Recently, we have set up operation of our new bigPULP evaluation platform [5] based on the Juno ARM Development Platform [6]. This system combines a modern ARMv8 multicluster CPU with a Xilinx Virtex-7 XC7V2000T FPGA [7] capable of implementing PULP [1] with 4 to 8 clusters and a total of 32 to 64 cores.
While the current implementation of the Event Unit Flex and the corresponding software infrastructure support basic synchronization across cluster boundaries, it is highly optimized for intra-cluster operation. The goal of this project is to extend the current infrastructure, e.g., with a SoC message passing framework, to facilitate and improve the synchronization among multiple clusters.
While the overall platform is of considerable complexity, the exact task description can be tailored to match your background knowledge and needs before the project starts: Just make sure to contact us in advance!
You can start from an existing IP block designed in a previous project. This IP is equipped with proprietary interfaces and needs to be adapted to use the widely adopted AXI4 protocol [6], which has built-in cache control signals that shall be used by your new IP. Besides designing the IP, your job is also to develop a set of testbenches to verify the functionality and analyze the design. The work primarily targets the implementation on the Xilinx Virtex-7 FPGA but if desired, an ASIC back-end design can also be implemented.
Status: Available
- Looking for Interested Master Students (Semester and Master Project)
- Supervision: Pirmin Vogel, Andreas Kurth, Andrea Marongiu, Florian Glaser, Germain Haugou
Character
- 20% Theory, Algorithms and Simulation
- 50% Implementation (VHDL, FPGA/ASIC Design, C)
- 30% Verification
Prerequisites
- VHDL/System Verilog, C
- The details of the project
Professor
References
- PULP link
- A. Capotondi, A. Marongiu, "Enabling Zero-Copy OpenMP Offloading on the PULP Many-Core Accelerator", Proceedings of the 20th International Workshop on Software and Compilers for Embedded Systems (SCOPES'17), Sankt Goar, Germany, 2017 link
- P. Vogel, A. Marongiu, L. Benini, "Lightweight Virtual Memory Support for Zero-Copy Sharing of Pointer-Rich Data Structures in Heterogeneous Embedded SoCs", IEEE Transactions on Parallel and Distributed Systems, vol. 28, no. 7, 2017. link
- P. Vogel, A. Kurth, J. Weinbuch, A. Marongiu, L. Benini, "Efficient Virtual Memory Sharing via On-Accelerator Page Table Walking in Heterogeneous Embedded SoCs", To appear in ESWEEK special issue of ACM Transactions on Embedded Computer Systems
- P. Vogel, "PULPonFPGA Howto", DZ EDA Wiki entry link
- Juno ARM Development Platform link
- Xilinx Virtex-7 XC7V2000T FPGA link