VHDL 關于2DFFT設計程序
u scinode1 ∼ scinode9.vhd: Every SCI node RTL vhdl code. The details can be
seen in the following section.
u 2dfft.vhd: The top module includes these scinodes and form a 3x3 SCI Torus
network, and it support these sub-modules scinode1∼ scinode9 reset and clk
and global_cnt signals to synchronous the sub-modules to simplify the overall
design.
u proj2.wfc: VSS simulation result that is the same as the ModelSim simulation
result.
u Pro2_2.wfc: VSS simulation result of another test pattern can’t cause overflow
situation.
This a two node test, requires a Coordinator
and an RFD. The coordinator and node simply
ping-pong a packet back and forth, and print
out the RSSI byte. The RFD waits before
bouncing it back, while the coordinator responds
immediately.
This paper addresses a stochastic-#ow network in which each arc or node has several capacities and may
fail. Given the demand d, we try to evaluate the system reliability that the maximum #ow of the network is
not less than d. A simple algorithm is proposed "rstly to generate all lower boundary points for d, and then
the system reliability can be calculated in terms of such points. One computer example is shown to illustrate
the solution procedure.
This paper addresses a stochastic-#ow network in which each arc or node has several capacities and may
fail. Given the demand d, we try to evaluate the system reliability that the maximum #ow of the network is
not less than d. A simple algorithm is proposed "rstly to generate all lower boundary points for d, and then
the system reliability can be calculated in terms of such points. One computer example is shown to illustrate
the solution procedure.
This paper addresses a stochastic-#ow network in which each arc or node has several capacities and may
fail. Given the demand d, we try to evaluate the system reliability that the maximum #ow of the network is
not less than d. A simple algorithm is proposed "rstly to generate all lower boundary points for d, and then
the system reliability can be calculated in terms of such points. One computer example is shown to illustrate
the solution procedure.
This paper addresses a stochastic-#ow network in which each arc or node has several capacities and may
fail. Given the demand d, we try to evaluate the system reliability that the maximum #ow of the network is
not less than d. A simple algorithm is proposed "rstly to generate all lower boundary points for d, and then
the system reliability can be calculated in terms of such points. One computer example is shown to illustrate
the solution procedure.
