DDR3L内存操作时序详解与控制命令解读

需积分: 16 3 下载量 152 浏览量 更新于2024-07-17 收藏 4.68MB PDF 举报
DDR3L Device Operation Timing Diagram Computing.pdf是一份深入解析DDR3和DDR3L内存设备操作时序的关键文档。该文档详细阐述了这些高级内存标准中的关键特性,对于理解和设计基于DDR3/DDR3L的系统具有重要价值。 1. 功能描述与状态图: 文档首先介绍了DDR3L SDRAM的基本功能,通过简化状态图来直观展示内存的工作流程,包括从电源上电到稳定工作状态的初始化过程。这涉及到了两个阶段:一是电源上电初始化序列,确保内存模块在供电后能正确配置;二是当电源稳定后进行的复位初始化,确保所有寄存器设定正确。 2. 模式寄存器编程: DDR3L内存的操作依赖于多个模式寄存器(MR0、MR1、MR2和MR3),这些寄存器用于设置工作频率、数据宽度、刷新周期等关键参数。文档详细解释了如何编程这些寄存器,以便适配不同的系统需求。 3. 命令描述与操作: 本文档的核心部分详述了各种内存命令的真值表,如控制信号(如CKE)的行为、无操作(NOP)命令、去选(Deselect)命令、DLL(差分延迟线)的开关模式切换过程,以及输入时钟频率变化的影响。特别是,写平滑(Write Leveling)技术被详细讨论,它有助于提高数据一致性并减小信号噪声。 4. 温度扩展使用: DDR3L允许在更宽的温度范围内工作,文档提到了自动自我刷新(ASR)模式,这是一种节能状态,用于在低功耗情况下保持数据。同时,文档明确了自刷新温度范围(SRT),以确保在极端条件下内存仍能正常工作。 5. 多功能寄存器(MPR): MPR是一个重要的辅助寄存器,用于存储额外的控制信息或配置选项。文档详细解释了MPR的功能,并提供了其地址定义,以供开发人员灵活调整内存行为。 这份文档为设计者提供了全面的DDR3L内存操作指南,涵盖了从基本原理到实际应用的方方面面,帮助读者掌握如何有效管理时序,优化内存性能,以及处理温度变化带来的挑战。对于从事内存系统设计、测试或维护的工程师来说,这是一份不可或缺的参考资料。

clear;clc parentdir = 'F:\data process\fMRI\fmrioutput'; % 定义储存各被试源文件的上级文件夹 cd(parentdir); % 进入这个上级文件夹 allsubjects = dir('sub*');%查找该文件夹下的所有被试 subinfos = numel(allsubjects); for i=1:numel(allsubjects) % 对每个被试进行循环 cursubject = allsubjects(i).name; % 找到当前被试的名字 matlabbatch=cell(1); curWPAT = fullfile(parentdir,cursubject,'WPAT'); curfucout=fullfile('F:\data process\fMRI\fmrioutput',cursubject,'WPAT') matlabbatch{1}.spm.stats.fmri_spec.dir = {curfucout}; matlabbatch{1}.spm.stats.fmri_spec.sess.scans = cellstr(spm_select('ExtFPList', curWPAT, '^sw*.nii', Inf)) matlabbatch{1}.spm.stats.fmri_spec.timing.units = 'scans'; matlabbatch{1}.spm.stats.fmri_spec.timing.RT = 2; matlabbatch{1}.spm.stats.fmri_spec.timing.fmri_t = 16; matlabbatch{1}.spm.stats.fmri_spec.timing.fmri_t0 = 8; %% matlabbatch{1}.spm.stats.fmri_spec.sess.cond = struct('name', {}, 'onset', {}, 'duration', {}, 'tmod', {}, 'pmod', {}, 'orth', {}); matlabbatch{1}.spm.stats.fmri_spec.sess.multi = {'D:\data process\fMRI\onsets\subject(i)_run1.mat'}; matlabbatch{1}.spm.stats.fmri_spec.sess.regress = struct('name', {}, 'val', {}); matlabbatch{1}.spm.stats.fmri_spec.sess.tempxx=dir(fullfile(curfucout,'rp*.txt')) matlabbatch{1}.spm.stats.fmri_spec.sess.hpf = 128; matlabbatch{1}.spm.stats.fmri_spec.fact = struct('name', {}, 'levels', {}); matlabbatch{1}.spm.stats.fmri_spec.bases.hrf.derivs = [0 0]; matlabbatch{1}.spm.stats.fmri_spec.volt = 1; matlabbatch{1}.spm.stats.fmri_spec.global = 'None'; matlabbatch{1}.spm.stats.fmri_spec.mthresh = 0.8; matlabbatch{1}.spm.stats.fmri_spec.mask = {''}; matlabbatch{1}.spm.stats.fmri_spec.cvi = 'AR(1)'; matlabbatch{2}.spm.stats.fmri_est.spmmat(1) = cfg_dep('fMRI model specification: SPM.mat File', substruct('.','val', '{}',{1}, '.','val', '{}',{1}, '.','val', '{}',{1}), substruct('.','spmmat')); matlabbatch{2}.spm.stats.fmri_est.write_residuals = 0; matlabbatch{2}.spm.stats.fmri_est.method.Classical = 1; matlabbatch{3}.spm.stats.con.spmmat(1) = cfg_dep('Model estimation: SPM.mat File', substruct('.','val', '{}',{2}, '.','val', '{}',{1}, '.','val', '{}',{1}), substruct('.','spmmat')); matlabbatch{3}.spm.stats.con.consess{1}.tcon.name = 'Old'; matlabbatch{3}.spm.stats.con.consess{1}.tcon.weights = 1; matlabbatch{3}.spm.stats.con.consess{1}.tcon.sessrep = 'none'; matlabbatch{3}.spm.stats.con.delete = 0; end;怎么改

2023-05-24 上传

torch.save(model.state_dict(), r'./saved_model/' + str(args.arch) + '_' + str(args.batch_size) + '_' + str(args.dataset) + '_' + str(args.epoch) + '.pth') # 计算GFLOPs flops = 0 for name, module in model.named_modules(): if isinstance(module, torch.nn.Conv2d): flops += module.weight.numel() * 2 * module.in_channels * module.out_channels * module.kernel_size[ 0] * module.kernel_size[1] / module.stride[0] / module.stride[1] elif isinstance(module, torch.nn.Linear): flops += module.weight.numel() * 2 * module.in_features start_event = torch.cuda.Event(enable_timing=True) end_event = torch.cuda.Event(enable_timing=True) start_event.record() with torch.no_grad(): output = UNet(args,3,1).to(device) end_event.record() torch.cuda.synchronize() elapsed_time_ms = start_event.elapsed_time(end_event) gflops = flops / (elapsed_time_ms * 10 ** 6) print("GFLOPs: {:.2f}".format(gflops)) return best_iou, aver_iou, aver_dice, aver_hd, aver_accuracy, aver_recall, aver_precision, aver_f1score, aver_memory, fps, parameters, gflops出现错误 best_iou,aver_iou,aver_dice,aver_hd, aver_accuracy, aver_recall, aver_precision, aver_f1score, aver_memory, FPS, parameters, gflops = val(model,best_iou,val_dataloader) File "D:/BaiduNetdiskDownload/0605_ghostv2unet _tunnelcrack/ghostunet++/UNET++/main.py", line 143, in val return best_iou, aver_iou, aver_dice, aver_hd, aver_accuracy, aver_recall, aver_precision, aver_f1score, aver_memory, fps, parameters, gflops UnboundLocalError: local variable 'gflops' referenced before assignment怎么修改

2023-06-08 上传

#!/usr/bin/env python #coding: utf-8 import os from time import time from datetime import datetime from netmiko import ConnectHandler from openpyxl import Workbook from openpyxl import load_workbook def read_device_excel( ): ip_list = [] wb1 = load_workbook('E:\/Users/Wayne_Peng/Desktop/cs_lab.xlsx') ws1 = wb1.get_sheet_by_name("Sheet1") for cow_num in range(2,ws1.max_row+1): ipaddr = ws1["a"+str(cow_num)].value ip_list.append(ipaddr) return ip_list def get_config(ipaddr): session = ConnectHandler(device_type="huawei", ip=ipaddr, username="mtlops", password="cisco,123", banner_timeout=300) print("connecting to "+ ipaddr) print ("---- Getting HUAWEI configuration from {}-----------".format(ipaddr)) # config_data = session.send_command('screen-length 0 temporary') # config_data = session.send_command('dis cu | no-more ') # command = 'display version | display cpu-usage | display memory-usage' # config_data = session.send_command(command) commands = ['display version', 'display cpu-usage', 'display memory-usage'] config_data = '' for cmd in commands: output = session.send_command_timing(cmd) config_data += f'{cmd}\n{output}\n' session.disconnect() return config_data def write_config_to_file(config_data,ipaddr): now = datetime.now() date= "%s-%s-%s"%(now.year,now.month,now.day) time_now = "%s-%s"%(now.hour,now.minute) #---- Write out configuration information to file config_path = 'E:\/Users/Wayne_Peng/Desktop/' +date verify_path = os.path.exists(config_path) if not verify_path: os.makedirs(config_path) config_filename = config_path+"/"+'config_' + ipaddr +"_"+date+"_" + time_now # Important - create unique configuration file name print ('---- Writing configuration: ', config_filename) with open( config_filename, "w",encoding='utf-8' ) as config_out: config_out.write( config_data ) return def main(): starting_time = time() ip_list = read_device_excel() for ipaddr in ip_list: hwconfig = get_config(ipaddr) write_config_to_file(hwconfig,ipaddr) print ('\n---- End get config threading, elapsed time=', time() - starting_time) #======================================== # Get config of HUAWEI #======================================== if __name__ == '__main__': main() 加一段gevent,def run_gevent()

2023-05-26 上传

代码优化: quarter_dict = { '1': [date(year=timing.year, month=1, day=1), date(year=timing.year, month=3, day=calendar.monthrange(timing.year, 3)[-1])], '2': [date(year=timing.year, month=1, day=1), date(year=timing.year, month=3, day=calendar.monthrange(timing.year, 3)[-1])], '3': [date(year=timing.year, month=1, day=1), date(year=timing.year, month=3, day=calendar.monthrange(timing.year, 3)[-1])], '4': [date(year=timing.year, month=4, day=1), date(year=timing.year, month=6, day=calendar.monthrange(timing.year, 6)[-1])], '5': [date(year=timing.year, month=4, day=1), date(year=timing.year, month=6, day=calendar.monthrange(timing.year, 6)[-1])], '6': [date(year=timing.year, month=4, day=1), date(year=timing.year, month=6, day=calendar.monthrange(timing.year, 6)[-1])], '7': [date(year=timing.year, month=7, day=1), date(year=timing.year, month=9, day=calendar.monthrange(timing.year, 9)[-1])], '8': [date(year=timing.year, month=7, day=1), date(year=timing.year, month=9, day=calendar.monthrange(timing.year, 9)[-1])], '9': [date(year=timing.year, month=7, day=1), date(year=timing.year, month=9, day=calendar.monthrange(timing.year, 9)[-1])], '10': [date(year=timing.year, month=10, day=1), date(year=timing.year, month=12, day=calendar.monthrange(timing.year, 12)[-1])], '11': [date(year=timing.year, month=10, day=1), date(year=timing.year, month=12, day=calendar.monthrange(timing.year, 12)[-1])], '12': [date(year=timing.year, month=10, day=1), date(year=timing.year, month=12, day=calendar.monthrange(timing.year, 12)[-1])] }

2023-05-27 上传