// -*- mode: c++ -*- /* Copyright (c) 2010-2011, Intel Corporation All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: * Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. * Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. * Neither the name of Intel Corporation nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. */ #include "options_defs.h" #define programCount 32 #define programIndex (threadIdx.x & 31) #define taskIndex (blockIdx.x*4 + (threadIdx.x >> 5)) #define taskCount (gridDim.x*4) #define warpIdx (threadIdx.x >> 5) // Cumulative normal distribution function // __device__ static inline float CND(float X) { float L = abs(X); float k = 1.0 / (1.0 + 0.2316419 * L); float k2 = k*k; float k3 = k2*k; float k4 = k2*k2; float k5 = k3*k2; const float invSqrt2Pi = 0.39894228040f; float w = (0.31938153f * k - 0.356563782f * k2 + 1.781477937f * k3 + -1.821255978f * k4 + 1.330274429f * k5); w *= invSqrt2Pi * exp(-L * L * .5f); if (X > 0.f) w = 1.0 - w; return w; } __global__ void bs_task( float Sa[], float Xa[], float Ta[], float ra[], float va[], float result[], int count) { int first = taskIndex * (count/taskCount); int last = min(count, (int)((taskIndex+1) * (count/taskCount))); for (int i = programIndex + first; i < last; i += programCount) if (i < last) { float S = Sa[i], X = Xa[i], T = Ta[i], r = ra[i], v = va[i]; float d1 = (log(S/X) + (r + v * v * .5f) * T) / (v * sqrt(T)); float d2 = d1 - v * sqrt(T); result[i] = S * CND(d1) - X * exp(-r * T) * CND(d2); } } extern "C" __global__ void black_scholes_ispc_tasks( float Sa[], float Xa[], float Ta[], float ra[], float va[], float result[], int count) { int nTasks = 2048; //count/16384; //max((int)64, (int)count/16384); bs_task<<>>(Sa, Xa, Ta, ra, va, result, count); } /********/ __device__ static inline float binomial_put(float S, float X, float T, float r, float v) { float V[BINOMIAL_NUM]; float dt = T / BINOMIAL_NUM; float u = exp(v * sqrt(dt)); float d = 1. / u; float disc = exp(r * dt); float Pu = (disc - d) / (u - d); #pragma unroll for ( int j = 0; j < BINOMIAL_NUM; ++j) { float upow = pow(u, (float)(2*j-BINOMIAL_NUM)); V[j] = max(0., X - S * upow); } #pragma unroll for ( int j = BINOMIAL_NUM-1; j >= 0; --j) #pragma unroll for ( int k = 0; k < j; ++k) V[k] = ((1 - Pu) * V[k] + Pu * V[k + 1]) / disc; return V[0]; } __global__ void binomial_task( float Sa[], float Xa[], float Ta[], float ra[], float va[], float result[], int count) { int first = taskIndex * (count/taskCount); int last = min(count, (int)((taskIndex+1) * (count/taskCount))); for (int i = programIndex + first; i < last; i += programCount) if (i < last) { float S = Sa[i], X = Xa[i], T = Ta[i], r = ra[i], v = va[i]; result[i] = binomial_put(S, X, T, r, v); } } extern "C" __global__ void binomial_put_ispc_tasks( float Sa[], float Xa[], float Ta[], float ra[], float va[], float result[], int count) { int nTasks = 2048; //count/16384; //max((int)64, (int)count/16384); if (programIndex == 0) binomial_task<<>>(Sa, Xa, Ta, ra, va, result, count); cudaDeviceSynchronize(); }