private void Run(int m)
{
string mask = Masks[m];
ParseHashes(mask);
// handle templates without wildcards
if (!mask.Contains('%'))
{
ResultQueue.Enqueue(0);
Validate(mask, new byte[0]);
return;
}
// resize mask to next % 12 for faster jenkins
byte[] maskdata = Encoding.ASCII.GetBytes(mask);
Array.Resize(ref maskdata, (int)AlignTo(mask.Length, 12));
// calculate the indicies of the wildcard chars
byte[] maskoffsets = Enumerable.Range(0, mask.Length).Where(i => mask[i] == '%').Select(i => (byte)i).ToArray();
if (maskoffsets.Length > 12 * (IsMirrored ? 2 : 1))
{
Console.WriteLine($"Error: Too many wildcards - maximum is {12 * (IsMirrored ? 2 : 1)}. `{mask}`");
return;
}
// mirrored is two indentical masks so must have an even count of wildcards
if (IsMirrored && maskoffsets.Length % 2 != 0)
{
Console.WriteLine($"Error: Mirrored flag used with an odd number of wildcards. `{mask}`");
return;
}
// reorder mirrored indices for faster permutation computing
if (IsMirrored)
{
int halfcount = maskoffsets.Length / 2;
byte[] temp = new byte[maskoffsets.Length];
for (int i = 0; i < halfcount; i++)
{
temp[i * 2] = maskoffsets[i];
temp[(i * 2) + 1] = maskoffsets[halfcount + i];
}
maskoffsets = temp;
}
// replace kernel placeholders - faster than using buffers
KernelWriter kernel = new KernelWriter(Properties.Resources.Jenkins);
kernel.ReplaceArray("DATA", maskdata);
kernel.ReplaceArray("OFFSETS", maskoffsets);
kernel.Replace("DATA_SIZE_REAL", mask.Length);
kernel.ReplaceOffsetArray(TargetHashes);
// load CL - filter contexts to the specific device type
MultiCL cl = new MultiCL(ComputeDevice);
Console.WriteLine($"Loading kernel - {TargetHashes.Count - 1} hashes");
cl.SetKernel(kernel.ToString(), IsMirrored ? "BruteforceMirrored" : "Bruteforce");
// output buffer arg
int bufferSize = (TargetHashes.Count + (8 - TargetHashes.Count % 8) % 8); // buffer should be 64 byte aligned
var resultArg = CLArgument <ulong> .CreateReturn(bufferSize);
// alignment calculations
BigInteger COMBINATIONS = BigInteger.Pow(39, maskoffsets.Length / (IsMirrored ? 2 : 1)); // calculate combinations
long GLOBAL_WORKSIZE = 0, LOOPS = 0;
long WARP_SIZE = cl.WarpSize;
// Start the work
Console.WriteLine($"Starting Jenkins Hashing :: {COMBINATIONS} combinations ");
Stopwatch time = Stopwatch.StartNew();
COMBINATIONS = AlignTo(COMBINATIONS, WARP_SIZE); // align to the warp size
// nvidia + too many threads + lots of wildcards = out of resources
if (cl.HasNVidia && maskoffsets.Length > 7)
{
BASE_GLOBAL_WORKSIZE -= (maskoffsets.Length - 7) * 613566752;
}
string total = COMBINATIONS.ToString("#,##0,,M", CultureInfo.InvariantCulture);
var TOTAL = COMBINATIONS;
BigInteger COMPLETED = 0;
if (COMBINATIONS > BASE_GLOBAL_WORKSIZE)
{
GLOBAL_WORKSIZE = (long)ReduceTo(BASE_GLOBAL_WORKSIZE, WARP_SIZE);
LOOPS = (uint)Math.Floor(Math.Exp(BigInteger.Log(COMBINATIONS) - BigInteger.Log(GLOBAL_WORKSIZE)));
// set up internal loop of GLOBAL_WORKSIZE
for (uint i = 0; i < LOOPS; i++)
{
// index offset, count, output buffer
cl.SetParameter((ulong)(i * GLOBAL_WORKSIZE), resultArg);
// my card crashes if it is going full throttle and I forcibly exit the kernel
// this overrides the default exit behaviour and waits for a break in GPU processing before exiting
// - if the exit event is fired twice it'll just force close
CleanExitHandler.IsProcessing = ComputeDevice.HasFlag(ComputeDeviceTypes.Gpu);
Enqueue(cl.InvokeReturn <ulong>(GLOBAL_WORKSIZE, null, bufferSize));
CleanExitHandler.ProcessExit();
COMBINATIONS -= GLOBAL_WORKSIZE;
COMPLETED += GLOBAL_WORKSIZE;
if ((BigInteger)time.Elapsed.TotalSeconds != 0)
{
string completed = (i * GLOBAL_WORKSIZE).ToString("#,##0,,M", CultureInfo.InvariantCulture);
var speed = COMPLETED / (BigInteger)time.Elapsed.TotalSeconds;
string hps = speed.ToString("#,##0,,M", CultureInfo.InvariantCulture);
string percentage =
((double)COMPLETED / (double)TOTAL).ToString("P4", CultureInfo.InvariantCulture);
BigInteger left = TOTAL - COMPLETED;
var seconds_left = (left / speed);
TimeSpan t = TimeSpan.FromSeconds((double)seconds_left);
string eta = $"{(int)t.TotalHours}:{t:mm}:{t:ss}";
Console.WriteLine("{0} out of {1} completed ({2}), {3} hash/sec, ETA: {4}", completed, total,
percentage, hps, eta);
}
}
}
if (COMBINATIONS > 0)
{
// index offset, count, output buffer
cl.SetParameter((ulong)(LOOPS * GLOBAL_WORKSIZE), resultArg);
GLOBAL_WORKSIZE = (long)AlignTo(COMBINATIONS, WARP_SIZE);
CleanExitHandler.IsProcessing = ComputeDevice.HasFlag(ComputeDeviceTypes.Gpu);
Enqueue(cl.InvokeReturn <ulong>(GLOBAL_WORKSIZE, null, bufferSize));
CleanExitHandler.ProcessExit();
}
time.Stop();
Console.WriteLine($"Completed in {time.Elapsed.TotalSeconds.ToString("0.00")} secs");
Validate(mask, maskoffsets);
CleanExitHandler.IsProcessing = false;
}
private void Run(int m)
{
string mask = Masks[m];
// handle templates without wildcards
if (!mask.Contains('%'))
{
ResultQueue.Enqueue(0);
Validate(mask, new byte[0]);
return;
}
byte[] maskdata = Encoding.ASCII.GetBytes(mask);
// calculate the indicies of the wildcard chars
byte[] maskoffsets = Enumerable.Range(0, mask.Length).Where(i => mask[i] == '%').Select(i => (byte)i).ToArray();
if (maskoffsets.Length > 12)
{
Console.WriteLine($"Error: Too many wildcards - maximum is {12}. `{mask}`");
return;
}
// replace kernel placeholders - faster than using buffers
KernelWriter kernel = new KernelWriter(Properties.Resources.Table);
kernel.ReplaceArray("DATA", maskdata);
kernel.ReplaceArray("OFFSETS", maskoffsets);
kernel.Replace("DATA_SIZE_REAL", mask.Length);
kernel.ReplaceOffsetArray(TargetHashes);
// load CL - filter contexts to the specific device type
MultiCL cl = new MultiCL(ComputeDevice);
Console.WriteLine($"Loading kernel - {TargetHashes.Count - 1} hashes");
cl.SetKernel(kernel.ToString(), "Bruteforce");
// output buffer arg
int bufferSize = (TargetHashes.Count + (8 - TargetHashes.Count % 8) % 8); // buffer should be 64 byte aligned
var resultArg = CLArgument <ulong> .CreateReturn(bufferSize);
// alignment calculations
BigInteger COMBINATIONS = BigInteger.Pow(26, maskoffsets.Length); // calculate combinations
long GLOBAL_WORKSIZE = 0, LOOPS = 0;
long WARP_SIZE = cl.WarpSize;
// Start the work
Console.WriteLine($"Starting DB Table Hashing :: {COMBINATIONS} combinations ");
Stopwatch time = Stopwatch.StartNew();
COMBINATIONS = AlignTo(COMBINATIONS, WARP_SIZE); // align to the warp size
// nvidia + too many threads + lots of wildcards = out of resources
if (cl.HasNVidia && maskoffsets.Length > 7)
{
BASE_GLOBAL_WORKSIZE -= (maskoffsets.Length - 7) * 613566752;
}
if (COMBINATIONS > BASE_GLOBAL_WORKSIZE)
{
GLOBAL_WORKSIZE = (long)ReduceTo(BASE_GLOBAL_WORKSIZE, WARP_SIZE);
LOOPS = (uint)Math.Floor(Math.Exp(BigInteger.Log(COMBINATIONS) - BigInteger.Log(GLOBAL_WORKSIZE)));
// set up internal loop of GLOBAL_WORKSIZE
for (uint i = 0; i < LOOPS; i++)
{
// index offset, count, output buffer
cl.SetParameter((ulong)(i * GLOBAL_WORKSIZE), resultArg);
// my card crashes if it is going full throttle and I forcibly exit the kernel
// this overrides the default exit behaviour and waits for a break in GPU processing before exiting
// - if the exit event is fired twice it'll just force close
CleanExitHandler.IsProcessing = ComputeDevice.HasFlag(ComputeDeviceTypes.Gpu);
Enqueue(cl.InvokeReturn <ulong>(GLOBAL_WORKSIZE, null, bufferSize));
CleanExitHandler.ProcessExit();
if (i == 0)
{
LogEstimation(LOOPS, time.Elapsed.TotalSeconds);
}
COMBINATIONS -= GLOBAL_WORKSIZE;
}
}
if (COMBINATIONS > 0)
{
// index offset, count, output buffer
cl.SetParameter((ulong)(LOOPS * GLOBAL_WORKSIZE), resultArg);
GLOBAL_WORKSIZE = (long)AlignTo(COMBINATIONS, WARP_SIZE);
CleanExitHandler.IsProcessing = ComputeDevice.HasFlag(ComputeDeviceTypes.Gpu);
Enqueue(cl.InvokeReturn <ulong>(GLOBAL_WORKSIZE, null, bufferSize));
CleanExitHandler.ProcessExit();
}
time.Stop();
Console.WriteLine($"Completed in {time.Elapsed.TotalSeconds.ToString("0.00")} secs");
Validate(mask, maskoffsets);
CleanExitHandler.IsProcessing = false;
}
