CMU-CS-15-135
Computer Science Department
School of Computer Science, Carnegie Mellon University



CMU-CS-15-135

CoRAM++: Supporting Data-Structure-Specific Memory
Interfaces in FPGA Computing

Gabriel Leonard Weisz

September 2015

Ph.D. Thesis

CMU-CS-15-135.pdf


Keywords: Computer Architecture, Reconfigurable Computing, FPGA Computing, Decoupled Computing, Development Environments, FPGA, Hardware Specialization, Data-Structure Libraries, FPGA Abstraction, FPGA Design Methodology

FPGAs offer high performance and power efficient computation, but are difficult to use. In particular, the effort involved in managing data movements between on-chip computation components and off-chip DRAM has prevented FPGAs from being widely adopted by the computing industry. Recently developed FPGA programming environ- ments layer simplifying abstractions on top of the DRAM interfaces provided by FPGA vendors, but existing programming environments have primarily focused on support for simple, regular data access patterns such as block copy and streaming.

This thesis proposes CoRAM++, an FPGA programming environment that efficiently supports complex data structures such as multi-dimensional arrays and linked lists in addition to simple data access patterns. CoRAM++ application developers manage data movements through an extensible library of data-structure-specific application-level interfaces, which generate specialized soft-logic datapaths between application components and memory. This extensible library of data-structure-specific application-level interfaces is layered top of a system interface which allows library components to attach modules directly to a memory interface in order to lower the latency of irregular, pointer chasing operations. Our evaluation of CoRAM++ shows that this approach can provide convenient data access to a variety of data structures without introducing undue performance or resource overheads, which should make CoRAM++ attractive to FPGA application developers.

182 pages

Thesis Committee:
James C. Hoe (Chair)
Kayvon Fatahalian
Kenneth Mai
Todd Mowry
Joel S. Emer (MIT/NVIDIA)

Frank Pfenning, Head, Computer Science Department
Andrew W. Moore, Dean, School of Computer Science



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