5 files changed, 0 insertions, 115 deletions
diff --git a/src/main/scala/com/nsrddyn/cpu/ALU/Hash.scala b/src/main/scala/com/nsrddyn/cpu/ALU/Hash.scala
deleted file mode 100644
index 9dc5a98..0000000
--- a/src/main/scala/com/nsrddyn/cpu/ALU/Hash.scala
+++ /dev/null
@@ -1,31 +0,0 @@
-package com.nsrddyn.alu
-
-import scala.util.hashing
-
-class Hash {
-
-import scala.util.hashing.MurmurHash3
-
-  def run(word: String, loopSize: Int): Unit = {
-
-    /* TODO: implement ALU friendly, so high speed hashing
-     * to continuously loop over voor stressing 
-     * ALU 
-     *
-     * While looking for hashing algorithmes to implement I stumbled on: 
-     * https://scala-lang.org/api/3.x/scala/util/hashing/MurmurHash3$.html
-     *
-     * which is an implemntation of **smasher** http://github.com/aappleby/smhasher
-     * the exact type of hashing algorithm I was looking for
-     *
-     * In the scala description they state: "This algorithm is designed to generate
-     * well-distributed non-cryptographic hashes. It is designed to hash data in 32 bit chunks (ints). "
-     * 
-     * (ints) -> ALU
-     *
-     */ 
-
-     for i <- 0 to loopSize do MurmurHash3.stringHash(word) 
-
-  }
-}
diff --git a/src/main/scala/com/nsrddyn/cpu/ALU/Prime.scala b/src/main/scala/com/nsrddyn/cpu/ALU/Prime.scala
deleted file mode 100644
index effedef..0000000
--- a/src/main/scala/com/nsrddyn/cpu/ALU/Prime.scala
+++ /dev/null
@@ -1,45 +0,0 @@
-package com.nsrddyn.alu
-
-
-import com.nsrddyn.tools.Benchmark
-
-class Prime() extends Benchmark:  
-
-  /*
-   * Calculate all primes up to limit
-   * This should stress the ALU in someway,
-   * doing this in a predictable manner, 
-   * will hopefully keep the cpu pipeline busy
-   * and that way stress the branch predictor
-   *
-   * math.sqrt(n) => a prime number has 2 factors, one of the factors 
-   * of the prime numbers has to be smaller then n 
-   * after that we check if the number is whole number and thereby checking if its a prime
-   *
-   */
-
-
-  /*
-  * TODO: I did the countrary of what i wanted to accieve with the is prime function
-  *       We want the function to be less optimized so that the CPU has more work == more stress 
-  */
-
-
-  def isPrime(n: Int): Boolean = {
-    val start = measure()
-    if n <= 1 then false
-    else !(2 to math.sqrt(n).toInt).exists(i => n % i  == 0)
-  }
-
-  def run(n: Int): Unit = for i <- 0 to n do isPrime(i)
-
-
-  // TODO: implement measure methode to measure the time that it takes to find that prime number
-  def measure(): Long ={
-
-    val start = System.nanoTime()
-    System.nanoTime()
-    val end = System.nanoTime()
-    start - end
-  } 
-
diff --git a/src/main/scala/com/nsrddyn/cpu/FPU/CholeskyDecomposition.scala b/src/main/scala/com/nsrddyn/cpu/FPU/CholeskyDecomposition.scala
deleted file mode 100644
index 79325f4..0000000
--- a/src/main/scala/com/nsrddyn/cpu/FPU/CholeskyDecomposition.scala
+++ /dev/null
@@ -1,28 +0,0 @@
-package com.nsrddyn.fpu
-
-
-class CholeskyDecomposition {
-
-  /*
-   *  Floating point operation to stress the cpu
-   *  Calculate the number of KFLOPS / FLOPS
-   *  implementation of the Cholesky decomposition
-   *  More information on the Cholesky decomposition at: 
-   *  https://en.wikipedia.org/wiki/Cholesky_decomposition
-   *  
-   *  Linpack uses the cholesky decomposition
-   *  https://www.netlib.org/linpack/
-   *
-   *
-   */ 
-
-  def choleskyDecomposition(n: Int): Unit =   {
-
-    for (w <- 0 to n) {
-
-
-    }
-  }
-
-  
-}
diff --git a/src/main/scala/com/nsrddyn/cpu/FPU/FPU.scala b/src/main/scala/com/nsrddyn/cpu/FPU/FPU.scala
deleted file mode 100644
index 6532476..0000000
--- a/src/main/scala/com/nsrddyn/cpu/FPU/FPU.scala
+++ /dev/null
@@ -1,6 +0,0 @@
-package com.nsrddyn.fpu
-
-
-class FPU {
-  
-}
diff --git a/src/main/scala/com/nsrddyn/cpu/FPU/Matrix.scala b/src/main/scala/com/nsrddyn/cpu/FPU/Matrix.scala
deleted file mode 100644
index 7f1bccf..0000000
--- a/src/main/scala/com/nsrddyn/cpu/FPU/Matrix.scala
+++ /dev/null
@@ -1,5 +0,0 @@
-package com.nsrddyn.fpu
-
-class Matrix {
-  
-}