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Adding documentation
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/*! \page extending_volk Extending VOLK
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There are two primary routes for extending VOLK for your own use. The
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preferred route is by writing kernels and proto-kernels as part of this
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repository and sending patches upstream. The alternative is creating your
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own VOLK module, as it is the case of VOLK_GNSSSDR ;-). There is a good reason
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for that: to provide GNSS-SDR users with adequate protokernels as soon as possible,
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without needing to upgrade to the latest VOLK version to enjoy the benefits.
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Notwithstanding, some of VOLK_GNSSSDR can be integrated into VOLK in the future,
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if other users find them useful.
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## Modifying this repository
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### Adding kernels
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Adding kernels refers to introducing a new function to the VOLK API that is
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presumably a useful math function/operation. The first step is to create
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the file in volk/kernels/volk. Follow the naming scheme provided in the
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VOLK terms and techniques page. First create the generic protokernel.
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The generic protokernel should be written in plain C using explicitly sized
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types from stdint.h or volk_complex.h when appropriate. volk_complex.h
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includes explicitly sized complex types for floats and ints. The name of
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the generic kernel should be volk_signature_from_file_generic. If multiple
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versions of the generic kernel exist then a description can be appended to
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generic_, but it is not required to use alignment flags in the generic
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protokernel name. It is required to surround the entire generic function
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with preprocessor ifdef fences on the symbol LV_HAVE_GENERIC.
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Finally, add the kernel to the list of test cases in volk/lib/kernel_tests.h.
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Many kernels should be able to use the default test parameters, but if yours
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requires a lower tolerance, specific vector length, or other test parameters
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just create a new instance of volk_test_params_t for your kernel.
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### Adding protokernels
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The primary purpose of VOLK is to have multiple implementations of an operation
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tuned for a specific CPU architecture. Ideally there is at least one
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protokernel of each kernel for every architecture that VOLK supports.
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The pattern for protokernel naming is volk_kernel_signature_architecture_nick.
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The architecture should be one of the supported VOLK architectures. The nick is
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an optional name to distinguish between multiple implementations for a
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particular architecture.
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Architecture specific protokernels can be written in one of three ways.
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The first approach should always be to use compiler intrinsic functions.
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The second and third approaches are using either in-line assembly or
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assembly with .S files. Both methods of writing assembly exist in VOLK and
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should yield equivalent performance; which method you might choose is a
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matter of opinion. Regardless of the actual method the public function should
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be declared in the kernel header surrounded by ifdef fences on the symbol that
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fits the architecture implementation.
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#### Compiler Intrinsics
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Compiler intrinsics should be treated as functions that map to a specific
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assembly instruction. Most VOLK kernels take the form of a loop that iterates
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through a vector. Form a loop that iterates on a number of items that is natural
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for the architecture and then use compiler intrinsics to do the math for your
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operation or algorithm. Include the appropriate header inside the ifdef fences,
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but before your protokernel declaration.
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#### In-line Assembly
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In-line assembly uses a compiler macro to include verbatim assembly with C code.
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The process of in-line assembly protokernels is very similar to protokernels
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based on intrinsics.
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#### Assembly with .S files
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To write pure assembly protokernels, first declare the function name in the
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kernel header file the same way as any other protokernel, but include the extern
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keyword. Second, create a file (one for each protokernel) in
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volk/kernels/volk/asm/$arch. Disassemble another protokernel and copy the
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disassembled code in to this file to bootstrap a working implementation. Often
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the disassembled code can be hand-tuned to improve performance.
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## VOLK Modules
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VOLK has a concept of modules. Each module is an independent VOLK tree. Modules
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can be managed with the volk_modtool application. At a high level the module is
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a clone of all of the VOLK machinery without kernels. volk_modtool also makes it
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easy to copy kernels to a module.
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Kernels and protokernels are added to your own VOLK module the same way they are
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added to this repository, which was described in the previous section.
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VOLK_GNSSSDR is a VOLK Module.
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*/
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/*! \page kernels Kernels
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\li \subpage volk_gnsssdr_32fc_convert_16ic
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\li \subpage volk_gnsssdr_32fc_convert_8ic
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\li \subpage volk_gnsssdr_16ic_convert_32fc
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\li \subpage volk_gnsssdr_16ic_resampler_16ic
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\li \subpage volk_gnsssdr_16ic_xn_resampler_16ic_xn
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\li \subpage volk_gnsssdr_16ic_s32fc_x2_rotator_16ic
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\li \subpage volk_gnsssdr_16ic_x2_multiply_16ic
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\li \subpage volk_gnsssdr_16ic_x2_dot_prod_16ic
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\li \subpage volk_gnsssdr_16ic_x2_dot_prod_16ic_xn
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\li \subpage volk_gnsssdr_16ic_x2_rotator_dot_prod_16ic_xn
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\li \subpage volk_gnsssdr_8i_accumulator_s8i
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\li \subpage volk_gnsssdr_8i_index_max_16u
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\li \subpage volk_gnsssdr_8i_max_s8i
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\li \subpage volk_gnsssdr_8i_x2_add_8i
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\li \subpage volk_gnsssdr_8ic_conjugate_8ic
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\li \subpage volk_gnsssdr_8ic_magnitude_squared_8i
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\li \subpage volk_gnsssdr_8ic_x2_dot_prod_8ic
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\li \subpage volk_gnsssdr_8ic_x2_multiply_8ic
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\li \subpage volk_gnsssdr_8ic_s8ic_multiply_8ic
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\li \subpage volk_gnsssdr_64f_accumulator_64f
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*/
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/*! \mainpage VOLK_GNSSSDR
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Welcome to VOLK_GNSSSDR!
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VOLK_GNSSSDR is the Vector-Optimized Library of Kernels for GNSS-SDR.
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It is a library that contains kernels of hand-written SIMD code for different
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mathematical operations. Since each SIMD architecture can be very different
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and no compiler has yet come along to handle vectorization properly or highly
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efficiently, VOLK_GNSSSDR approaches the problem differently.
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For each architecture or platform that a developer wishes to vectorize for, a
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new proto-kernel is added to VOLK_GNSSSDR. At runtime, VOLK_GNSSSDR will select the correct
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proto-kernel. In this way, the users of VOLK_GNSSSDR call a kernel for performing the
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operation that is platform/architecture agnostic. This allows us to write
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portable SIMD code.
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VOLK_GNSSSDR is a module generated from the original VOLK library http://libvolk.org
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*/
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/*! \page concepts_terms_and_techniques Concepts, Terms, and Techniques
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This page is primarily a list of definitions and brief overview of successful
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techniques previously used to develop VOLK_GNSSSDR protokernels.
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## Definitions and Concepts
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### SIMD
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SIMD stands for Single Instruction Multiple Data. Leveraging SIMD instructions
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is the primary optimization in VOLK_GNSSSDR.
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### Architecture
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A VOLK_GNSSSDR architecture is normally called an Instruction Set Architecture (ISA).
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The architectures we target in VOLK_GNSSSDR usually have SIMD instructions.
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### Vector
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A vector in VOLK_GNSSSDR is the same as a C array. It sometimes, but not always
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coincides with the mathematical definition of a vector.
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### Kernel
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The 'kernel' part of the VOLK_GNSSSDR name comes from the high performance computing
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use of the word. In this context it is the inner loop of a vector operation.
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Since we don't use the word vector in the math sense a vector operation is an
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operation that is performed on a C array.
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### Protokernel
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A protokernel is an implementation of a kernel. Every kernel has a 'generic'
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protokernel that is implemented in C. Other protokernels are optimized for a
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particular architecture.
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## Techniques
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### New Kernels
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Add new kernels to the list in lib/kernel_tests.h. This adds the kernel to
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VOLK_GNSSSDR's QA tool as well as the volk profiler. Many kernels are able to
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share test parameters, but new kernels might need new ones.
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If the VOLK_GNSSSDR kernel does not 'fit' the the standard set of function parameters
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expected by the volk_profile structure, you need to create a VOLK_GNSSSDR puppet
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function to help the profiler call the kernel. This is essentially due to the
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function run_volk_gnsssdr_tests which has a limited number of function prototypes that
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it can test.
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### Protokernels
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Adding new proto-kernels (implementations of VOLK_GNSSSDR kernels for specific
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architectures) is relatively easy. In the relevant <kernel>.h file in
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the volk_gnsssdr/include/volk_gnsssdr/volk_gnsssdr<input-fingerprint_function-name_output-fingerprint>.h
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file, add a new #ifdef/#endif block for the LV_HAVE_<arch> corresponding
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to the <arch> you a working on (e.g. SSE, AVX, NEON, etc.).
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For example, for volk_gnsssdr_16ic_x2_multiply_16ic_neon:
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\code
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#ifdef LV_HAVE_NEON
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#include <arm_neon.h>
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static inline void volk_gnsssdr_16ic_x2_multiply_16ic_neon(lv_16sc_t* out, const lv_16sc_t* in_a, const lv_16sc_t* in_b, unsigned int num_points)
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{
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lv_16sc_t *a_ptr = (lv_16sc_t*) in_a;
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lv_16sc_t *b_ptr = (lv_16sc_t*) in_b;
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unsigned int quarter_points = num_points / 4;
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int16x4x2_t a_val, b_val, c_val;
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int16x4x2_t tmp_real, tmp_imag;
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unsigned int number = 0;
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for(; number < quarter_points; ++number)
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{
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a_val = vld2_s16((int16_t*)a_ptr);
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b_val = vld2_s16((int16_t*)b_ptr);
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tmp_real.val[0] = vmul_s16(a_val.val[0], b_val.val[0]);
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tmp_real.val[1] = vmul_s16(a_val.val[1], b_val.val[1]);
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tmp_imag.val[0] = vmul_s16(a_val.val[0], b_val.val[1]);
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tmp_imag.val[1] = vmul_s16(a_val.val[1], b_val.val[0]);
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c_val.val[0] = vsub_s16(tmp_real.val[0], tmp_real.val[1]);
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c_val.val[1] = vadd_s16(tmp_imag.val[0], tmp_imag.val[1]);
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vst2_s16((int16_t*)out, c_val);
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a_ptr += 4;
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b_ptr += 4;
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out += 4;
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}
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for(number = quarter_points * 4; number < num_points; number++)
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{
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*out++ = (*a_ptr++) * (*b_ptr++);
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}
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}
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#endif /* LV_HAVE_NEON */
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\endcode
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### Allocating Memory
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SIMD code can be very sensitive to the alignment of the vectors, which is
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generally something like a 16-byte or 32-byte alignment requirement. The
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VOLK_GNSSSDR dispatcher functions, which is what we will normally call as users of
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VOLK_GNSSSDR, makes sure that the correct aligned or unaligned version is called
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depending on the state of the vectors passed to it. However, things typically
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work faster and more efficiently when the vectors are aligned. As such, VOLK_GNSSSDR
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has memory allocate and free methods to provide us with properly aligned
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vectors. We can also ask VOLK_GNSSSDR to give us the current machine's alignment
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requirement, which makes our job even easier when porting code.
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To get the machine's alignment, simply call the size_t volk_gnsssdr_get_alignment().
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Allocate memory using void* volk_gnsssdr_malloc(size_t size, size_t alignment).
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Make sure that any memory allocated by VOLK_GNSSSDR is also freed by VOLK_GNSSSDR with volk_gnsssdr_free(void *p).
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*/
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/*! \page using_volk_gnsssdr Using VOLK_GNSSSDR
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Using VOLK_GNSSSDR in your code requires proper linking and including the correct headers.
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VOLK_GNSSSDR currently supports both C and C++ bindings.
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VOLK_GNSSSDR provides both a pkgconfig and CMake module to help configuration and
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linking. The pkfconfig file is installed to
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$install_prefix/lib/pkgconfig/volk_gnsssdr.pc. The CMake configuration module is in
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$install_prefix/lib/cmake/volk_gnsssdr/VolkConfig.cmake.
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The header in the VOLK_GNSSSDR include directory (includedir in pkgconfig,
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VOLK_GNSSSDR_INCLUDE_DIRS in cmake module) contains the header volk_gnsssdr/volk_gnsssdr.h defines all
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of the symbols exposed by VOLK_GNSSSDR. Alternatively individual kernel headers are in
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the same location.
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In most cases it is sufficient to call the dispatcher for the kernel you are using.
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*/
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/*!
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* \file volk_gnsssdr_32fc_convert_16ic.h
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* \brief Volk protokernel: converts 16 bit integer complex complex values to 32 bits float complex values
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* \file volk_gnsssdr_16ic_convert_32fc.h
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* \brief Volk protokernel: converts 16 bit integer complex complex values to 32 bits float complex values
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* \authors <ul>
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* <li> Javier Arribas, 2015. jarribas(at)cttc.es
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* </ul>
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