jackalcooper

Latency numbers every programmer should know

L1 cache reference ......................... 0.5 ns
Branch mispredict ............................ 5 ns
L2 cache reference ........................... 7 ns
Mutex lock/unlock ........................... 25 ns
Main memory reference ...................... 100 ns             
Compress 1K bytes with Zippy ............. 3,000 ns  =   3 µs
Send 2K bytes over 1 Gbps network ....... 20,000 ns  =  20 µs
SSD random read ........................ 150,000 ns  = 150 µs

Read 1 MB sequentially from memory ..... 250,000 ns = 250 µs

jackalcooper

defmodule Tuna.Client.FayeWebsocket do
    import Tuna.Ewhine
    require Logger
    import Tuna.Ewhine
    use Maxwell.Builder, ~w(get post)a
    adapter Maxwell.Adapter.Ibrowse
    middleware Maxwell.Middleware.BaseUrl, endpoint
    middleware Maxwell.Middleware.Headers, %{
        "Content-Type" => "application/json",
        #   "User-Agent" => "Subway",

jackalcooper

### OneFlow Individual Contributor License Agreement

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**Copyright License.** You hereby grant, and agree to grant, to OneFlow a non-exclusive, perpetual, ir

jackalcooper

from jax import random, pmap
import jax.numpy as jnp
from jax import grad, jit, vmap
import os

os.environ["XLA_FLAGS"] = "--xla_force_host_platform_device_count=8"

x = jnp.ones((2, 2))

@pmap

jackalcooper

defmodule Beaver.Nx.Defn do
  require Beaver
  import Beaver, only: [mlir: 1]
  require Beaver.MLIR.Dialect.Func
  alias Beaver.MLIR
  alias Beaver.MLIR.Dialect.{Builtin, Func, TOSA}
  import Builtin, only: :macros
  import MLIR, only: :macros
  import MLIR.Sigils

jackalcooper

# I’m working on compiling Elixir pattern to MLIR (the PDL dialect),
# so that it could be used to manipulate another piece of IR.

# If we want to rewrite
res = TOSA.add(a, b) >>> Type.ranked_tensor([2, 3], Type.f32())
res1 = TOSA.add(res, b) >>> Type.ranked_tensor([2, 3], Type.f32())
# to
res1 = TOSA.sub(res, b) >>> Type.ranked_tensor([2, 3], Type.f32())

# We can declare a pattern like this

jackalcooper

alias Beaver.MLIR

alias Beaver.MLIR.CAPI.{
  MlirModule,
  MlirOperation,
  MlirRegion,
  MlirAttribute,
  MlirBlock,
  MlirValue,
  MlirNamedAttribute,

jackalcooper

pub fn ResourceKind(comptime ElementType: type, module_name: anytype) type {
    return struct {
        pub const T = ElementType;
        pub const module_name = module_name;
        pub const resource = struct {
            pub var t: resource_type = undefined;
            pub const name = @typeName(ElementType);
            pub fn make(environment: env, value: T) !term {
                return make_resource(environment, value, t);
            }

jackalcooper

module {
  func.func @"Elixir.Manx.Assert.-all_close_jit/3-fun-0-.126722613"(%arg0: tensor<3xf32>, %arg1: tensor<3xf32>) -> tensor<i8> {
    %0 = "tosa.const"() {value = dense<9.99999974E-5> : tensor<f32>} : () -> tensor<f32>
    %1 = "tosa.const"() {value = dense<0x7F800000> : tensor<3xf32>} : () -> tensor<3xf32>
    %2 = "tosa.abs"(%arg0) : (tensor<3xf32>) -> tensor<3xf32>
    %3 = "tosa.equal"(%2, %1) : (tensor<3xf32>, tensor<3xf32>) -> tensor<3xi1>
    %4 = "tosa.cast"(%3) : (tensor<3xi1>) -> tensor<3xi8>
    %5 = "tosa.abs"(%arg1) : (tensor<3xf32>) -> tensor<3xf32>
    %6 = "tosa.equal"(%5, %1) : (tensor<3xf32>, tensor<3xf32>) -> tensor<3xi1>
    %7 = "tosa.cast"(%6) : (tensor<3xi1>) -> tensor<3xi8>

jackalcooper

defmodule CfTest do
  use ExUnit.Case
  use Beaver
  alias Beaver.MLIR
  alias Beaver.MLIR.Type
  alias Beaver.MLIR.Attribute
  alias Beaver.MLIR.Dialect.{CF, Arith}
  @moduletag :smoke

  defmodule MutCompiler do