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Lattice_reduction_sycl: fix double-precision accumulation in sumD_gpu_tensor
Accumulate in sobjD throughout rather than accumulating in sobj and converting the final sum. For float fields this matters: summing N floats then casting loses O(N*eps_float) relative precision vs accumulating in double from the start. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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@@ -6,28 +6,27 @@ NAMESPACE_BEGIN(Grid);
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template <class vobj>
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inline typename vobj::scalar_objectD sumD_gpu_tensor(const vobj *lat, Integer osites)
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inline typename vobj::scalar_objectD sumD_gpu_tensor(const vobj *lat, Integer osites)
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{
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typedef typename vobj::scalar_object sobj;
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typedef typename vobj::scalar_object sobj;
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typedef typename vobj::scalar_objectD sobjD;
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sobj identity; zeroit(identity);
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sobj ret; zeroit(ret);
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Integer nsimd= vobj::Nsimd();
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{
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sycl::buffer<sobj, 1> abuff(&ret, {1});
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sobjD identity; zeroit(identity);
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sobjD ret; zeroit(ret);
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{
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sycl::buffer<sobjD, 1> abuff(&ret, {1});
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theGridAccelerator->submit([&](sycl::handler &cgh) {
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auto Reduction = sycl::reduction(abuff,cgh,identity,std::plus<>());
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cgh.parallel_for(sycl::range<1>{osites},
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Reduction,
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[=] (sycl::id<1> item, auto &sum) {
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auto osite = item[0];
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sum +=Reduce(lat[osite]);
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});
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auto Reduction = sycl::reduction(abuff, cgh, identity, std::plus<>());
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cgh.parallel_for(sycl::range<1>{(size_t)osites},
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Reduction,
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[=](sycl::id<1> item, auto &sum) {
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sobj s = Reduce(lat[item[0]]);
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sobjD sd; sd = s;
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sum += sd;
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});
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});
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}
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sobjD dret; convertType(dret,ret);
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return dret;
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return ret;
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}
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template <class vobj>
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