|
|
|
Downloads: Released Resources
DART: An FPGA-Based Network-on-Chip Simulation Acceleration Engine
DART is an FPGA implementation of a network-on-chip simulator, where the
topology and parameters of the simulated network can be modified without
rebuilding the FPGA image. DART is described in our NOCS 2011 paper, and is available for download.
Multi-Ported Memories for FPGAs
FPGA fabrics typically contain block-memories that provide only two ports; if
you require a memory with more than two ports then there are several ways to
construct them depending on your desired speed/area trade-off, as described in
our FPGA 2010 paper Efficient Multi-Ported
Memory Implementations for FPGAs. Our designs are available for
download.
VESPA: Parameterized FPGA-Based Vector Processor
VESPA is an FPGA-based vector processor that implements the Berkeley
VIRAM ISA. The hardware design source, compiler/assembler, simulator, and
example applications are available
for download
NetThreads and NetTM: Multithreaded Multiprocessors for the NetFPGA
Platform
NetThreads allows the NetFPGA platform to be programmed via multithreaded
software that synchronizes and shares memory, allowing the implementation of
deeper packet inspection workloads. Available for download are the hardware
design source for NetThreads
and NetThreads-RE
(the "Router Edition", optimized for routing applications). Also available is
NetTM,
an improved version of NetThreads that supports Transactional Memory as
well as lock-based critical sections, for easing synchronization and improving
parallel overlap of threads. We have also released the Caliper
precise traffic generation system for NetFPGA+NetThreads.
SPREE: an FPGA-Based Soft Processor Generator
SPREE (Soft
Processor Rapid Exploration Environment) can be used to generate
MIPS-compatible FPGA-based soft processors, and comes with compiler and example
processor designs.
Power-Law Network Topology Generator Software
As described in our Globecom 2000 paper, this
source code implements the PLODD and Recursive topology generators. Please see
the README for more info.
|