narch proposal

.github/workflows/actions.yml

@@ -5,8 +5,9 @@ on:
       - main
       - releases/**
   pull_request:
-    types:
-      - opened
+    branches:
+      - main
+      - 'releases/**'
 
 jobs:
   Lint:

src/main/scala/isa/backend/controlMicroCode.scala

@@ -0,0 +1,9 @@
+// See README.md for license details.
+
+package isa.backend
+import chisel3._
+import chisel3.util._
+
+class NCoreCUBundle (val size: Int = 4096) extends Bundle {
+    val accum = Bool()
+}

src/main/scala/isa/backend/memMicroCode.scala

@@ -0,0 +1,28 @@
+// See README.md for license details.
+
+package isa.backend
+import chisel3._
+import chisel3.util._
+
+object MemLayout extends ChiselEnum {
+    val bit8    = Value(0x0.U)
+    val bit16   = Value(0x1.U)
+    val bit32   = Value(0x2.U)
+}
+
+object MemChannel extends ChiselEnum {
+    val ch0     = Value(0x0.U)
+    // 16/32 bits will have no ch1
+    val ch1     = Value(0x1.U)
+    // 32 bits will have no ch2
+    val ch2     = Value(0x2.U)
+    // 16/32 bits will have no ch3
+    val ch3     = Value(0x3.U)
+}
+
+class MMUCtrlBundle (val n: Int = 8, val size: Int = 4096) extends Bundle {
+    val offset_keep     = Bool()
+    val h_only          = Bool()
+    val in_addr         = Vec(n * n, UInt(log2Ceil(size).W))
+    val out_addr        = Vec(n * n, UInt(log2Ceil(size).W))
+}

src/main/scala/isa/instSetArch.scala

@@ -8,4 +8,12 @@ object NeuralISA extends ChiselEnum {
     val st = Value(0x2.U(4.W))
     val mma = Value(0x3.U(4.W))
     val ip = Value (0x4.U(4.W))
-}
+}
+
+object DType extends ChiselEnum {
+    val uint    = Value(0x0.U)
+    val int     = Value(0x1.U)
+    val fp      = Value(0x2.U)
+    // no bfp32c0
+    val bfp     = Value(0x3.U)
+}

src/main/scala/ncore/cu/controlUnit.scala

@@ -2,18 +2,43 @@
 package ncore.cu
 
 import chisel3._
+import isa.backend._
 
 /**
  * Control unit also uses systolic array to pass instructions
  */
-class ControlUnit(val n: Int = 8, val ctrl_width: Int = 8) extends Module {
+class ControlUnitforTest(val n: Int = 8, val ctrl_width: Int = 8) extends Module {
     val io = IO(new Bundle {
         val cbus_in     = Input(UInt(ctrl_width.W))
         val cbus_out    = Output(Vec(n * n, UInt(ctrl_width.W)))
     })
     // Assign each element with diagnal control signal
     val reg = RegInit(VecInit(Seq.fill(2*n-1)(0.U(ctrl_width.W))))
 
+    // 1D systolic array for control
+    reg(0) := io.cbus_in
+    for(i<- 1 until 2*n-1){
+        reg(i) := reg(i-1)
+    }
+    // Boardcast to all elements in the array
+    for(i <- 0 until n){
+        for(j <- 0 until n){
+            io.cbus_out(n*i+j) := reg(i+j)
+        }
+    }
+}
+
+/**
+ * Control unit also uses systolic array to pass instructions
+ */
+class ControlUnit(val n: Int = 8, val sram_size: Int = 4096) extends Module {
+    val io = IO(new Bundle {
+        val cbus_in         = Input(new NCoreCUBundle(sram_size))
+        val cbus_out        = Output(Vec(n * n, new NCoreCUBundle(sram_size)))
+    })
+    // Assign each element with diagnal control signal
+    val reg = RegInit(VecInit(Seq.fill(2*n-1)(0.U.asTypeOf(new NCoreCUBundle(sram_size)))))
+
     // 1D systolic array for control
     reg(0) := io.cbus_in
     for(i<- 1 until 2*n-1){

src/main/scala/ncore/neuralCore.scala

@@ -1,63 +1,41 @@
 // See README.md for license details
 package ncore
+import isa.backend._
+import pe._
 
 import chisel3._
 
+
 /**
  * This is the neural core design
  */
- class NeuralCoreforTest(val n: Int = 8, val nbits: Int = 8, val ctrl_width: Int = 8) extends Module {
+ class NeuralCore(val n: Int = 8, val nbits: Int = 8, val sram_size: Int = 4096) extends Module {
     val io = IO(new Bundle {
         val vec_a   = Input(Vec(n, UInt(nbits.W)))  // vector `a` is the left input
         val vec_b   = Input(Vec(n, UInt(nbits.W)))  // vector `b` is the top input
-        val ctrl    = Input(UInt(ctrl_width.W))
+        val ctrl    = Input(new NCoreCUBundle())
         val out     = Output(Vec(n * n, UInt((2 * nbits + 12).W)))
     })
 
     // Create n x n pe blocks
     val pe_io = VecInit(Seq.fill(n * n) {Module(new pe.PE(nbits)).io})
-    // Create 2d register for horizontal & vertical
-    val pe_reg_h = RegInit(VecInit(Seq.fill((n - 1) * n)(0.U(nbits.W))))
-    val pe_reg_v = RegInit(VecInit(Seq.fill((n - 1) * n)(0.U(nbits.W))))
 
     // we use systolic array to pipeline the instructions
     // this will avoid bubble and inst complexity 
     // while simplifying design with higher efficiency
-    val ctrl_array = Module(new cu.ControlUnit(n, ctrl_width))
+    val ctrl_array = Module(new cu.ControlUnit(n, sram_size))
     ctrl_array.io.cbus_in := io.ctrl
 
+    val sarray = Module(new sa.SystolicArray2D(n, nbits))
+    sarray.io.vec_a := io.vec_a
+    sarray.io.vec_b := io.vec_b
+
     for (i <- 0 until n){
         for (j <- 0 until n) {
-            // ==== OUTPUT ====
-            // pe array's output mapped to the matrix position
+            pe_io(n * i + j).in_a := sarray.io.out_a(n * i + j)
+            pe_io(n * i + j).in_b := sarray.io.out_b(n * i + j)
+            pe_io(n * i + j).ctrl := ctrl_array.io.cbus_out(n * i + j)
             io.out(n * i + j) := pe_io(n * i + j).out
-
-            // ==== INPUT ====
-            // vertical
-            if (i==0) {
-                pe_io(j).in_b := io.vec_b(j)
-            } else {
-                pe_io(n * i + j).in_b := pe_reg_v(n * (i - 1) + j)
-            }
-            if (i < n - 1 && j < n)
-                pe_reg_v(n * i + j) := pe_io(n * i + j).in_b
-
-            // horizontal
-            if (j==0) {
-                pe_io(n * i).in_a := io.vec_a(i)
-            } else {
-                pe_io(n * i + j).in_a := pe_reg_h((n - 1) * i + (j - 1))
-            }
-            if (i < n && j < n - 1)
-                pe_reg_h((n - 1) * i + j) := pe_io(n * i + j).in_a
-
-            // ==== CONTROL ====
-            // Currently we only have one bit control
-            // which is `ACCUM`
-            // TODO:
-            // Add ALU control to pe elements
-            val ctrl = ctrl_array.io.cbus_out(n * i + j).asBools
-            pe_io(n * i + j).accum := ctrl(0)
         }
     }
  }

src/main/scala/ncore/sa/systolicArray.scala

@@ -0,0 +1,46 @@
+// See README.md for license details
+package ncore.sa
+
+import chisel3._
+
+
+/**
+ * This is the neural core design
+ */
+ class SystolicArray2D(val n: Int = 8, val nbits: Int = 8) extends Module {
+    val io = IO(new Bundle {
+        val vec_a       = Input(Vec(n, UInt(nbits.W)))  // vector `a` is the left input
+        val vec_b       = Input(Vec(n, UInt(nbits.W)))  // vector `b` is the top input
+        val out_a       = Output(Vec(n * n, UInt(nbits.W)))
+        val out_b       = Output(Vec(n * n, UInt(nbits.W)))
+
+    })
+
+    // Create 2d register for horizontal & vertical
+    val reg_h = RegInit(VecInit(Seq.fill((n - 1) * n)(0.U(nbits.W))))
+    val reg_v = RegInit(VecInit(Seq.fill((n - 1) * n)(0.U(nbits.W))))
+
+    for (i <- 0 until n){
+        for (j <- 0 until n) {
+
+            // ==== INPUT ====
+            // vertical
+            if (i==0) {
+                io.out_b(j) := io.vec_b(j)
+            } else {
+                io.out_b(n * i + j) := reg_v(n * (i - 1) + j)
+            }
+            if (i < n - 1 && j < n)
+                reg_v(n * i + j) := io.out_b(n * i + j)
+
+            // horizontal
+            if (j==0) {
+                io.out_a(n * i) := io.vec_a(i)
+            } else {
+                io.out_a(n * i + j) := reg_h((n - 1) * i + (j - 1))
+            }
+            if (i < n && j < n - 1)
+                reg_h((n - 1) * i + j) := io.out_a(n * i + j)
+        }
+    }
+ }