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Design Of Serial Adder With Accumulator Vhdl

I am writing a VHDL code to impelemt 8 bit serial adder with accumulator.When i do simulation, the output is always zeros! And some times it gives me the same number but with a shift ! I dont know what is the problem, i tried to put A,B as inout but didnt work as well. Can anybody help please.

design of serial adder with accumulator vhdl

Since i'm not skilled enough in design with clock (except some silly flip flop i've found on the web, and similarly a register, where the design is pretty much the same) i have some problem in the design.

I would start with a register (n bit) a full adder and than a flip flop as basic component. Register and flip flop should be updated and shift for every clock cycle, the full adder is combinatorial so it is ok. I'm not sure however how the whole entity for the adder should be designed i would attempt with something like

Ok here i have my first attempt for the design... I splitted in three process, first process for handling the input registers, second for handling the full adder and third for handling the register z, i sync with a clock signal and i think i've written a correct sensitivity list for each process. Input signal are also clk, load and clear. Clk is the clock, load is to write the x,y value in the registers while clear is to clear registers and flip flop. Pleaaaaaaaaaase give me any feedback!!!

Use pipelining parameters to improve speed performance of your filter designs. Add pipelines to the adder logic of your filter using AddPipelineRegisters (HDL Coder) for scalar input filters, and AdderTreePipeline (HDL Coder) for frame-based filters. Specify pipeline stages before and after each multiplier with MultiplierInputPipeline (HDL Coder) and MultiplierOutputPipeline (HDL Coder). Set the number of pipeline stages before and after the filter using InputPipeline (HDL Coder) and OutputPipeline (HDL Coder). The architecture diagrams show the locations of the various configurable pipeline stages.

This option is the default architecture. A fully parallel architecture uses a dedicated multiplier and adder for each filter tap. The taps execute in parallel. A fully parallel architecture is optimal for speed. However, it requires more multipliers and adders than a serial architecture, and therefore consumes more chip area. The diagrams show the architectures for direct form and for transposed filter structures with fully parallel implementations, and the location of configurable pipeline stages.

A fully serial architecture conserves area by reusing multiplier and adder resources sequentially. For example, a four-tap filter design uses a single multiplier and adder, executing a multiply-accumulate operation once for each tap. The multiply-accumulate section of the design runs at four times the filter's input/output sample rate. This design saves area at the cost of some speed loss and higher power consumption.

In a fully serial architecture, the system clock runs at a much higher rate than the sample rate of the filter. Thus, for a given filter design, the maximum speed achievable by a fully serial architecture is less than that of a parallel architecture.

In a partly serial architecture, the filter taps are grouped into a number of serial partitions. The taps within each partition execute serially, but the partitions execute in parallel with respect to one another. The outputs of the partitions are summed at the final output.

When you select a partly serial architecture, you specify the number of partitions and the length (number of taps) of each partition. Suppose you specify a four-tap filter with two partitions, each having two taps. The system clock runs at twice the filter's sample rate.

A cascade-serial architecture closely resembles a partly serial architecture. As in a partly serial architecture, the filter taps are grouped into a number of serial partitions that execute in parallel with respect to one another. However, the accumulated output of each partition is cascaded to the accumulator of the previous partition. The output of all partitions is therefore computed at the accumulator of the first partition. This technique is termed accumulator reuse. A final adder is not required, which saves area.

The cascade-serial architecture requires an extra cycle of the system clock to complete the final summation to the output. Therefore, the frequency of the system clock must be increased slightly with respect to the clock used in a noncascade partly serial architecture.

To generate a cascade-serial architecture, specify a partly serial architecture with accumulator reuse enabled. If you do not specify the serial partitions, HDL Coder automatically selects an optimal partitioning.

Serialization of a filter increases the total latency of the design by one clock cycle. The serial architectures use an accumulator (an adder with a register) to add the products sequentially. An additional final register is used to store the summed result of all the serial partitions, requiring an extra clock cycle for the operation. To model this latency, HDL Coder inserts a Delay block into the generated model after the filter block.

The only difference between circuits of Mealy and Moore type FSM for serial adder is that in Moore type FSM circuit, output signal s is passed through an extra flip-flop and thus delayed by one clock cycle with respect to the Mealy type FSM circuit.

A Parallel Subtractor is a digital circuit capable of finding the arithmetic difference of two binary numbers that is greater than one bit in length by operating on corresponding pairs of bits in parallel. The parallel subtractor can be designed in several ways including combination of half and full subtractors, all full subtractors or all full adders with subtrahend complement input.

The Accumulator IP provides LUT and single DSP48 slice accumulation implementations. The Accumulator module can implement adder-based, subtracter-based, and dynamically configurable adder/subtracter-based accumulators operating on signed or unsigned data. The Accumulator module can generate adder-based, subtracter-based and adder/subtracter-based accumulators operating on signed or unsigned data. The function can be implemented in a single DSP48 slice or LUTs (but currently not a hybrid of both). Pipelining is available for both implementations.

The DesignWare Library's Datapath and Building Block IP is a collection of reusable intellectual property blocks that are tightly integrated into the Synopsys synthesis environment. Using the DesignWare Library's Datapath and Building Block IP allows transparent, high-level optimization of performance during synthesis. The large availability of IP components enables design reuse and significantly improves productivity. The DesignWare Library's Datapath and Building Block IP consists of: Application Specific: Control Logic (Overview) DW_arb_2t Two-Tier Arbiter with Dynamic/Fair-Among-Equal Scheme DW_arb_dp Arbiter with Dynamic Priority Scheme DW_arb_fcfs Arbiter with First-Come-First-Served Priority Scheme DW_arb_rr Arbiter with Round Robin Priority Scheme DW_arb_sp Arbiter with Static Priority Scheme Datapath: Arithmetic Components (Overview) DW01_absval Absolute Value DW01_add Adder DW01_addsub Adder-Subtractor DW01_ash Arithmetic Shifter DW01_bsh Barrel Shifter DW01_cmp2 2-Function Comparator DW01_cmp6 6-Function Comparator DW01_csa Carry Save Adder DW01_dec Decrementer DW01_inc Incrementer DW01_incdec Incrementer-Decrementer DW01_satrnd Arithmetic Saturation and Rounding Logic DW01_sub Subtractor DW02_mac Multiplier-Accumulator DW02_mult Multiplier DW02_multp Partial Product Multiplier DW02_mult_2_stage Two-Stage Pipelined Multiplier DW02_mult_3_stage Three-Stage Pipelined Multiplier DW02_mult_4_stage Four-Stage Pipelined Multiplier DW02_mult_5_stage Five-Stage Pipelined Multiplier DW02_mult_6_stage Six-Stage Pipelined Multiplier DW02_prod_sum Generalized Sum of Products DW02_prod_sum1 Multiplier-Adder DW02_sum Vector Adder DW02_tree Wallace Tree Compressor DW_addsub_dx Duplex Adder/Subtractor with Saturation and Rounding DW_bin2gray Binary to Gray Converter DW_cmp_dx Duplex Comparator DW_cntr_gray Gray Code Counter DW_div Combinational Divider DW_div_pipe Stallable Pipelined Divider DW_div_sat Combinational Divider with Saturation DW_exp2 Base-2 Exponential DW_gray2bin Gray to Binary Converter DW_inc_gray Gray Incrementer DW_inv_sqrt Reciprocal of Square-Root DW_lbsh Barrel Shifter with Preferred Left Direction DW_ln Natural Logarithm DW_log2 Base-2 Logarithm DW_lp_multifunc minPower Low Power Multi-function Unit DW_lp_multifunc_DG minPower Low Power Multi-function Unit with Datapath Gating DW_lp_piped_div minPower Low Power Pipelined Divide DW_lp_piped_mult minPower Low Power Pipelined Multiplier DW_lp_piped_prod_sum minPower Low Power Pipelined Sum of Products DW_lp_piped_sqrt minPower Low Power Pipelined Square Root DW_minmax Minimum/Maximum Value DW_mult_dx Duplex Multiplier DW_mult_pipe Stallable Pipelined Multiplier DW_norm Normalization for Fractional Input DW_norm_rnd Normalization and Rounding DW_piped_mac Pipelined Multiplier-Accumulator DW_prod_sum_pipe Stallable Pipelined Generalized Sum of Products DW_rash Arithmetic Shifter with Preferred Right Direction DW_rbsh Barrel Shifter with Preferred Right Direction DW_shifter Combined Arithmetic and Barrel Shifter DW_sla Arithmetic Left Shifter DW_sqrt Combinational Square Root DW_sqrt_pipe Stallable Pipelined Square Root DW_square Integer Squarer DW_squarep Partial Product Integer Squarer DW_sra Arithmetic Right Shifter Datapath: Floating Point (Overview) DW_fp_add Floating-Point Adder DW_fp_addsub Floating-Point Adder/Subtractor DW_fp_addsub_DG Floating-Point Adder/subtractor with Datapath Gating DW_fp_add_DG Floating-Point Adder with Datapath Gating DW_fp_cmp Floating-Point Comparator DW_fp_cmp_DG Floating-Point Comparator with Datapath Gating DW_fp_div Floating-Point Divider DW_fp_div_DG Floating-Point Divider with Datapath Gating DW_fp_div_seq Floating-Point Sequential Divider DW_fp_dp2 2-Term Floating-Point Dot-product DW_fp_dp3 3-Term Floating-Point Dot-product DW_fp_dp4 4-Term Floating-Point Dot-product DW_fp_exp Floating-Point Exponential (e^a) DW_fp_exp2 Floating-Point Base-2 Exponential DW_fp_flt2i Floating-Point to Integer Converter DW_fp_i2flt Integer to Floating-Point Converter DW_fp_invsqrt Floating-Point Reciprocal of Square Root DW_fp_ln Floating-Point Natural Logarithm DW_fp_log2 Floating-Point Base-2 Logarithm DW_fp_mac Floating-Point Multiply and Add DW_fp_mac_DG Floating-Point Multiply-and-Add with Datapath Gating DW_fp_mult Floating-Point Multiplier DW_fp_mult_DG Floating-Point Multiply with Datapath Gating DW_fp_recip Floating-Point Reciprocal DW_fp_recip_DG Floating-Point Reciprocal with Datapath Gating DW_fp_sincos Floating-Point Sine or Cosine DW_fp_sqrt Floating-Point Square Root DW_fp_square Floating-Point Square DW_fp_sub Floating-Point Subtractor DW_fp_sub_DG Floating-Point Subtractor with Datapath Gating DW_fp_sum3 3-input Floating-Point Adder DW_fp_sum3_DG 3-Input Floating-Point Adder with Datapath Gating DW_fp_sum4 4-input Floating-Point Adder DW_lp_fp_multifunc minPower Low Power Floating-Point Multi-function Unit DW_lp_fp_multifunc_DG minPower Low Power Floating-Point Multi-function Unit with Datapath Gating DW_lp_piped_fp_add minPower Low Power Pipelined Floating-Point Adder DW_lp_piped_fp_div minPower Low Power Pipelined Floating-Point Divide DW_lp_piped_fp_mult minPower Low Power Pipelined Floating-Point Multiplier DW_lp_piped_fp_recip minPower Low Power Pipelined Floating-Point Reciprocal DW_lp_piped_fp_sum3 minPower Low Power Pipelined 3-input Floating-Point Adder Datapath: Sequential (Overview) DW_div_seq Sequential Divider DW_mult_seq Sequential Multiplier DW_sqrt_seq Sequential Square Root Datapath: Trigonometric (Overview) DW_sincos Sine and Cosine Data Integrity (Overview) DW04_par_gen Parity Generator and Checker DW_crc_p Universal Parallel (Combinational) CRC Generator/Checker DW_crc_s Universal Synchronous (Clocked) CRC Generator/Checker DW_ecc Error Checking and Correction DW_lp_piped_ecc minPower Low Power Pipelined Error Correction (ECC) Data Integrity: Coding (Overview) DW_8b10b_dec 8b10b Decoder DW_8b10b_enc 8b10b Encoder DW_8b10b_unbal 8b10b Coding Balance Predictor Digital Signal Processing (Overview) DW_dct_2d Two Dimensional Discreet Cosine Transform (DCT) DW_fir High-Speed Digital FIR Filter DW_fir_seq Sequential Digital FIR Filter Processor DW_iir_dc High-Speed Digital IIR Filter with Dynamic Coefficients DW_iir_sc High-Speed Digital IIR Filter with Static Coefficients Interface: Clock Domain Crossing (Overview) DW_data_qsync_hl Quasi-Synchronous Data Interface for H-to-L Frequency Clocks DW_data_qsync_lh Quasi-Synchronous Data Interface for L-to-H Frequency Clocks DW_data_sync Data Bus Synchronizer with Acknowledge DW_data_sync_1c Single Clock Filtered Data Bus Synchronizer DW_data_sync_na Data Bus Synchronizer without Acknowledge DW_gray_sync Gray Coded Synchronizer DW_pulseack_sync Pulse Synchronizer with Acknowledge DW_pulse_sync Dual Clock Pulse Synchronizer DW_reset_sync Reset Sequence Synchronizer DW_stream_sync Data Stream Synchronizer DW_sync Single Clock Data Bus Synchronizer Logic: Combinational Components (Overview) DW01_binenc Binary Encoder DW01_decode Decoder DW01_mux_any Universal Multiplexer DW01_prienc Priority Encoder DW_decode_en Binary Decoder with Enable DW_lod Leading One's Detector DW_lsd Leading Signs Detector DW_lza Leading Zero's Anticipator DW_lzd Leading Zero's Detector DW_pricod Priority Coder DW_thermdec Binary Thermometer Decoder with Enable Logic: Sequential Components (Overview) DW03_bictr_dcnto Up/Down Binary Counter with Dynamic Count-to Flag DW03_bictr_decode Up/Down Binary Counter with Output Decode DW03_bictr_scnto Up/Down Binary Counter with Static Count-to Flag DW03_lfsr_dcnto LFSR Counter with Dynamic Count-to Flag DW03_lfsr_load LFSR Counter with Loadable Input DW03_lfsr_scnto LFSR Counter with Static Count-to Flag DW03_lfsr_updn LFSR Up/Down Counter DW03_updn_ctr Up/Down Counter DW_dpll_sd Digital Phase Locked Loop DW_lp_cntr_updn_df minPower Low Power Counter with Dynamic Terminal Count Flag DW_lp_cntr_up_df minPower Low Power Up Counter with Dynamic Terminal Count Flag Memory: FIFO (Overview) DW_asymdata_inbuf Asymmetric Data Input Buffer DW_asymdata_outbuf Asymmetric Data Output Buffer DW_asymfifo_s1_df Asymmetric I/O Synchronous (Single Clock) FIFO with Dynamic Flags DW_asymfifo_s1_sf Asymmetric I/O Synchronous (Single Clock) FIFO with Static Flags DW_asymfifo_s2_sf Asymmetric Synchronous (Dual-Clock) FIFO with Static Flags DW_fifo_2c_df Dual clock FIFO with Dynamic Flags DW_fifo_s1_df Synchronous (Single Clock) FIFO with Dynamic Flags DW_fifo_s1_sf Synchronous (Single Clock) FIFO with Static Flags DW_fifo_s2_sf Synchronous (Dual-Clock) FIFO with Static Flags DW_lp_fifo_1c_df Low Power Single Independent Clock FIFO Memory: FIFO Controllers (Overview) DW_asymfifoctl_2c_df Asymmetric Synchronous (Dual Clock) FIFO Controller with Dynamic Flags DW_asymfifoctl_s1_df Asymmetric I/O Synchronous (Single Clock) FIFO Controller with Dynamic Flags DW_asymfifoctl_s1_sf Asymmetric I/O Synchronous (Single Clock) FIFO Controller with Static Flags DW_asymfifoctl_s2_sf Asymmetric Synchronous (Dual-Clock) FIFO Controller with Static Flags DW_fifoctl_2c_df Dual clock FIFO Controller with Synchronous Memory Support and Dynamic Flags DW_fifoctl_s1_df Synchronous (Single Clock) FIFO Controller with Dynamic Flags DW_fifoctl_s1_sf Synchronous (Single-Clock) FIFO Controller with Static Flags DW_fifoctl_s2_sf Synchronous (Dual-Clock) FIFO Controller with Static Flags DW_lp_fifoctl_1c_df minPower Low Power Single clock FIFO Controller with Dynamic Flags Memory: Registers (Overview) DW03_pipe_reg Pipeline Register DW03_reg_s_pl Register with Synchronous Enable Reset DW03_shftreg Shift Register DW04_shad_reg Shadow and Multibit Register DW_pl_reg Pipeline Register with individual enables Memory: SRAMs (Overview) DW_ram_2r_2w_s_dff Synchronous write, asynchronous read, 4-port RAM (FF-based) DW_ram_2r_w_a_dff Asynchronous Three-Port RAM (Flip-Flop Based) DW_ram_2r_w_a_lat Write-Port, Dual-Read-Port RAM (Latch-Based) DW_ram_2r_w_s_dff Synchronous Write-Port, Asynchronous Dual Read-Port RAM (Flip-Flop Based) DW_ram_2r_w_s_lat Synchronous Write-Port, Asynchronous Dual Read-Port RAM (Latch-Based) DW_ram_rw_a_dff Asynchronous Single-Port RAM (Flip-Flop Based) DW_ram_rw_a_lat Asynchronous Single-Port RAM (Latch-Based) DW_ram_rw_s_dff Synchronous Single-Port, Read/Write RAM (Flip-Flop Based) DW_ram_rw_s_lat Synchronous Single-Port, Read/Write RAM (Latch-Based) DW_ram_r_w_2c_dff Synchronous Two-Clock RAM (Flip-Flop-Based)) DW_ram_r_w_a_dff Asynchronous Dual-Port RAM (Flip-Flop Based) DW_ram_r_w_a_lat Asynchronous Dual-Port RAM (Latch-Based) DW_ram_r_w_s_dff Synchronous Write-Port, Asynchronous Read-Port RAM (Flip-Flop Based) DW_ram_r_w_s_lat Synchronous Write-Port, Asynchronous Read-Port RAM (Latch-Based) Memory: Stacks (Overview) DW_stack Synchronous (Single Clock) Stack DW_stackctl Synchronous (Single Clock) Stack Controller Test: JTAG (Overview) DW_bc_1 Boundary Scan Cell Type BC_1 DW_bc_10 Boundary Scan Cell Type BC_10 DW_bc_2 Boundary Scan Cell Type BC_2 DW_bc_3 Boundary Scan Cell Type BC_3 DW_bc_4 Boundary Scan Cell Type BC_4 DW_bc_5 Boundary Scan Cell Type BC_5 DW_bc_7 Boundary Scan Cell Type BC_7 DW_bc_8 Boundary Scan Cell Type BC_8 DW_bc_9 Boundary Scan Cell Type BC_9 DW_tap TAP Controller DW_tap_uc TAP Controller with USERCODE Support Datapath Functions (Overview) DWF_dp_absval Returns the absolute value (magnitude) of an argument DWF_dp_blend Implements an alpha blender or linear interpolator DWF_dp_count_ones Counts ones in argument DWF_dp_mult_comb Performs a combined unsigned/signed multiply DWF_dp_mult_comb_ovfldet Performs a combined unsigned/signed multiply and overflow detection DWF_dp_mult_comb_sat Performs a combined unsigned/signed multiply and saturation DWF_dp_mult_ovfldet Performs a multiplication with overflow detection DWF_dp_mult_sat Performs a multiplication and saturation DWF_dp_rnd Performs arithmetic rounding DWF_dp_rndsat Performs arithmetic rounding and saturation DWF_dp_sat Performs arithmetic saturation DWF_dp_sign_select Performs sign selection / conditional two's complement DWF_dp_simd_add Configurable SIMD adder DWF_dp_simd_addc Configurable SIMD adder with carry DWF_dp_simd_mult Configurable SIMD multiplier DWF_dp_sub_abs Returns the absolute value of a subtraction DW_lp_pipe_mgr minPower Low Power Pipeline Manager 350c69d7ab

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