要长脑子了.png
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@ -109,11 +109,10 @@ pub fn cacl(config: CacluateConfig, id: u64, outfile: &PathBuf) {
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let xu = crate::evaluate::xuping::XuPing2_0_1015::evaluate(&namer);
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let xu_qd = crate::evaluate::xuping::XuPing2_0_1015_QD::evaluate(&namer);
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if xu < config.qp_expect as f64 && xu_qd < config.qp_expect as f64{
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if xu < config.qp_expect as f64 && xu_qd < config.qp_expect as f64 {
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continue;
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}
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get_count += 1;
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info!("Id:{:>15}|{}|{:.4}|{:.4}|{}", i, full_name, xu, xu_qd, namer.get_info());
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@ -54,11 +54,7 @@ impl Command {
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qp_expect: self.qp_expect,
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team: self.team.clone(),
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report_interval: self.report_interval,
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core_affinity: if self.bench {
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Some(1 << self.bench_core)
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} else {
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None
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},
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core_affinity: if self.bench { Some(1 << self.bench_core) } else { None },
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}
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}
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}
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@ -84,7 +80,7 @@ pub fn set_thread2core(core: usize) {
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pub fn set_process_cores(cores: usize) {
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#[cfg(windows)]
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unsafe {
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use windows_sys::Win32::System::Threading::{SetProcessAffinityMask, GetCurrentProcess};
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use windows_sys::Win32::System::Threading::{GetCurrentProcess, SetProcessAffinityMask};
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let process = GetCurrentProcess();
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let core_mask = cores;
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match SetProcessAffinityMask(process, core_mask) {
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@ -1,10 +1,20 @@
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@group(0) @binding(0) var<uniform> first_step: array<vec4<u32>, 64>;
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// 处理第二步的两次 rc4 名称, 输入名字 bytes, 从第一步得到的 val
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@group(1) @binding(0) var<storage, read> name_len: array<u32, 256>;
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@group(1) @binding(1) var<storage, read> name_bytes: array<array<u32, 256>, 256>;
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@compute
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@workgroup_size(16, 16)
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fn rc4_name(name_bytes: array<u32, 256>, name_len: u32) -> array<u32, 256> {
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// var val: array<u32, 256> = first_step;
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// 处理第二步的两次 rc4 名称, 输入名字 bytes, 从第一步得到的 val
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// fn rc4_name(@location(0) workname_bytes: array<u32, 256>, @location(1) name_len: u32) -> @location(0) array<u32, 256> {
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// 输入计算着色器的 index, 从全局数据中取对应位置的数据
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fn rc4_name(@builtin(local_invocation_id) compute_pos: vec3<u32>) {
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// 计算线程的 index
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var index: u32 = compute_pos.x + compute_pos.y * 16u;
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// 从全局数据中取对应位置的数据
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var name_bytes: array<u32, 256> = name_bytes[index];
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var name_len: u32 = name_len[index];
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var val: array<u32, 256> = array<u32, 256>();
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// 把 first_step 的值复制到 val
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// first_step 内当成连续的内存即可
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@ -34,5 +44,5 @@ fn rc4_name(name_bytes: array<u32, 256>, name_len: u32) -> array<u32, 256> {
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}
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}
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}
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return val;
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return;
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}
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@ -6,15 +6,41 @@ pub struct Works {
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/// 队伍名(统一)
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pub team: String,
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/// 队伍名(每个任务)
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pub names: Vec<String>,
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pub names: Vec<Vec<String>>,
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}
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impl Works {
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/// 创建一个新的工作信息
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pub fn new(team: String, names: Vec<String>) -> Self {
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// 把输入的名字填充到 256 长度的数组里
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// 如果不够 256 长度, 就用空字符串填充
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let names = {
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if names.len() < 256 {
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// 先把数组扩容到 256 长度
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let mut names = names;
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names.resize(256, "".to_string());
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// 把数组放到一个新的数组里
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vec![names]
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} else {
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// 如果长度已经是 256 了, 直接截取
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// 不满 256 的部分用空字符串填充
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names
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.chunks_exact(256)
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.map(|c| {
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let mut c = c.to_vec();
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c.resize(256, "".to_string());
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c
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})
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.collect::<Vec<Vec<String>>>()
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}
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};
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Self { team, names }
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}
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}
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#[cfg_attr(test, allow(dead_code))]
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async fn run() {
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let works = Works {
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team: "team".to_string(),
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names: vec!["name1".to_string(), "name2".to_string()],
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};
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let works = Works::new("team".to_string(), vec!["name1".to_string(), "name2".to_string()]);
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let steps = execute_gpu(works).await.unwrap();
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@ -97,10 +123,10 @@ async fn execute_gpu_inner(device: &wgpu::Device, queue: &wgpu::Queue, works: Wo
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// A storage buffer (can be bound within a bind group and thus available to a shader).
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// The destination of a copy.
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// The source of a copy.
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let storage_buffer = device.create_buffer_init(&wgpu::util::BufferInitDescriptor {
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let uniform_buffer = device.create_buffer_init(&wgpu::util::BufferInitDescriptor {
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label: Some("team bytes input buffer"),
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contents: bytemuck::cast_slice(&uniform_val),
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usage: wgpu::BufferUsages::STORAGE,
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usage: wgpu::BufferUsages::UNIFORM,
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});
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// A bind group defines how buffers are accessed by shaders.
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@ -114,21 +140,41 @@ async fn execute_gpu_inner(device: &wgpu::Device, queue: &wgpu::Queue, works: Wo
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label: None,
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layout: None,
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module: &cs_module,
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entry_point: "team_bytes",
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entry_point: "rc4_name",
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// constants: &Default::default(),
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});
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// Instantiates the bind group, once again specifying the binding of buffers.
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let bind_group_layout = compute_pipeline.get_bind_group_layout(0);
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let bind_group = device.create_bind_group(&wgpu::BindGroupDescriptor {
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let bind_group_layout_0 = compute_pipeline.get_bind_group_layout(0);
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let bind_group_0 = device.create_bind_group(&wgpu::BindGroupDescriptor {
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label: None,
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layout: &bind_group_layout,
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layout: &bind_group_layout_0,
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entries: &[wgpu::BindGroupEntry {
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binding: 0,
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resource: storage_buffer.as_entire_binding(),
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resource: uniform_buffer.as_entire_binding(),
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}],
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});
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let bind_group_layout_1 = compute_pipeline.get_bind_group_layout(1);
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let bind_group_1 = device.create_bind_group(&wgpu::BindGroupDescriptor {
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label: None,
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layout: &bind_group_layout_1,
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entries: &[
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wgpu::BindGroupEntry {
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binding: 0,
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resource: staging_buffer.as_entire_binding(),
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},
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// wgpu::BindGroupEntry {
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// binding: 1,
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// resource: wgpu::BindingResource::Buffer(wgpu::BufferBinding {
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// buffer: uniform_buffer,
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// offset: 0,
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// size,
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// }),
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// },
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],
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});
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// A command encoder executes one or many pipelines.
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// It is to WebGPU what a command buffer is to Vulkan.
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let mut encoder = device.create_command_encoder(&wgpu::CommandEncoderDescriptor { label: None });
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@ -138,9 +184,10 @@ async fn execute_gpu_inner(device: &wgpu::Device, queue: &wgpu::Queue, works: Wo
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timestamp_writes: None,
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});
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cpass.set_pipeline(&compute_pipeline);
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cpass.set_bind_group(0, &bind_group, &[]);
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cpass.set_bind_group(0, &bind_group_0, &[]);
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cpass.set_bind_group(1, &bind_group_1, &[]);
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cpass.insert_debug_marker("compute collatz iterations");
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cpass.dispatch_workgroups(numbers.len() as u32, 1, 1); // Number of cells to run, the (x,y,z) size of item being processed
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cpass.dispatch_workgroups(uniform_val.len() as u32, 1, 1); // Number of cells to run, the (x,y,z) size of item being processed
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}
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// Sets adds copy operation to command encoder.
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// Will copy data from storage buffer on GPU to staging buffer on CPU.
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