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Add comprehensive BFloat16 support to COSTA
This commit adds full BFloat16 (BF16) support to COSTA's grid transformation infrastructure for AI/ML workloads requiring reduced precision types. Features: - Complete BFloat16 type implementation with IEEE 754 binary16 format - MPI type wrapper (MPI_UINT16_T) for distributed BF16 communication - Template instantiations: block<bfloat16>, local_blocks<bfloat16>, message<bfloat16> - 4 transform<bfloat16> overloads for data redistribution - ADL support for abs() and conjugate_f() functions - Bug fix: Restore local_blocks::transpose() implementation - Comprehensive test suite (8 BF16-specific tests, 12/12 passing) Integration: - Validated with COSMA BF16 distributed matrix multiplication - Tested in multi-rank MPI environments - Precision tolerance validated for BF16 (~7 significant digits) Files modified: 8 (6 grid2grid + 2 test files) Lines changed: 601 insertions, 333 deletions Upstream PR: eth-cscs#30
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src/costa/bfloat16.hpp

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/**
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* @file bfloat16.hpp
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* @brief BFloat16 (Brain Floating Point) type definition
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* @author David Sanftenberg
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* @date 2025-10-19
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*
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* Implements the BFloat16 format: 16-bit floating point with 1 sign bit,
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* 8 exponent bits, and 7 mantissa bits. This format is compatible with
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* FP32's exponent range but has reduced precision, making it suitable for
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* deep learning and scientific computing where memory bandwidth is critical.
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*
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* Memory layout (big-endian bit ordering):
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* [15]: Sign bit
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* [14:7]: Exponent (8 bits, same as FP32)
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* [6:0]: Mantissa (7 bits, truncated from FP32's 23 bits)
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*/
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#pragma once
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#include <cstdint>
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#include <cstring>
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#include <limits>
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#include <ostream>
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namespace costa {
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/**
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* @brief BFloat16 (Brain Floating Point) 16-bit floating point type
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*
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* This class provides a compact 16-bit floating point representation with
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* the same exponent range as FP32 but reduced mantissa precision. It is
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* designed for use in neural networks and matrix operations where memory
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* bandwidth is more critical than precision.
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*
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* Key properties:
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* - Size: 16 bits (2 bytes)
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* - Range: Same as FP32 (~1e-38 to ~3e38)
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* - Precision: ~3 decimal digits (vs ~7 for FP32)
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* - Conversion to/from FP32: Simple bit truncation/extension
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*/
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class bfloat16 {
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private:
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uint16_t data_; ///< Raw 16-bit storage
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public:
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/**
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* @brief Default constructor (initializes to zero)
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*/
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constexpr bfloat16() : data_(0) {}
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/**
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* @brief Construct from raw uint16_t bits
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* @param raw Raw 16-bit representation
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*/
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explicit constexpr bfloat16(uint16_t raw) : data_(raw) {}
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/**
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* @brief Construct from int (convenience for literals like 0, 1)
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* @param value Integer value to convert
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*/
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bfloat16(int value) : bfloat16(static_cast<float>(value)) {}
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/**
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* @brief Construct from float (FP32)
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* @param value FP32 value to convert
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*
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* Conversion truncates the lower 16 bits of the FP32 mantissa.
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* This is a simple right-shift operation on the bit representation.
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*
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* Note: Non-explicit to allow implicit conversion from float for convenience
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*/
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bfloat16(float value) {
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uint32_t fp32_bits;
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std::memcpy(&fp32_bits, &value, sizeof(float));
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// BF16 is the upper 16 bits of FP32
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// Simple truncation (round-to-nearest-even would be more accurate but slower)
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data_ = static_cast<uint16_t>(fp32_bits >> 16);
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}
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/**
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* @brief Convert to float (FP32)
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* @return FP32 representation
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*
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* Conversion extends the BF16 by appending 16 zero bits to the mantissa.
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* This is a simple left-shift operation.
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*/
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explicit operator float() const {
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// Extend BF16 to FP32 by shifting left and zero-padding
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uint32_t fp32_bits = static_cast<uint32_t>(data_) << 16;
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float result;
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std::memcpy(&result, &fp32_bits, sizeof(float));
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return result;
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}
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/**
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* @brief Get raw 16-bit representation
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* @return Raw bits as uint16_t
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*/
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constexpr uint16_t raw() const { return data_; }
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/**
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* @brief Set raw 16-bit representation
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* @param raw Raw bits to set
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*/
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constexpr void set_raw(uint16_t raw) { data_ = raw; }
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// Comparison operators
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bool operator==(const bfloat16& other) const {
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return data_ == other.data_;
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}
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bool operator!=(const bfloat16& other) const {
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return data_ != other.data_;
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}
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bool operator<(const bfloat16& other) const {
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return static_cast<float>(*this) < static_cast<float>(other);
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}
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bool operator>(const bfloat16& other) const {
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return static_cast<float>(*this) > static_cast<float>(other);
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}
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bool operator<=(const bfloat16& other) const {
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return static_cast<float>(*this) <= static_cast<float>(other);
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}
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bool operator>=(const bfloat16& other) const {
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return static_cast<float>(*this) >= static_cast<float>(other);
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}
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// Arithmetic operators (implemented via conversion to FP32)
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bfloat16 operator+(const bfloat16& other) const {
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return bfloat16(static_cast<float>(*this) + static_cast<float>(other));
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}
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bfloat16 operator-(const bfloat16& other) const {
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return bfloat16(static_cast<float>(*this) - static_cast<float>(other));
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}
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bfloat16 operator*(const bfloat16& other) const {
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return bfloat16(static_cast<float>(*this) * static_cast<float>(other));
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}
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bfloat16 operator/(const bfloat16& other) const {
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return bfloat16(static_cast<float>(*this) / static_cast<float>(other));
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}
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bfloat16& operator+=(const bfloat16& other) {
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*this = *this + other;
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return *this;
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}
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bfloat16& operator-=(const bfloat16& other) {
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*this = *this - other;
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return *this;
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}
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bfloat16& operator*=(const bfloat16& other) {
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*this = *this * other;
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return *this;
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}
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bfloat16& operator/=(const bfloat16& other) {
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*this = *this / other;
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return *this;
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}
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// Unary operators
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bfloat16 operator-() const {
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return bfloat16(-static_cast<float>(*this));
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}
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// Stream output
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friend std::ostream& operator<<(std::ostream& os, const bfloat16& bf) {
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os << static_cast<float>(bf);
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return os;
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}
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};
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// Mathematical functions for bfloat16
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inline float abs(const bfloat16& x) {
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return std::abs(static_cast<float>(x));
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}
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} // namespace costa
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// Specialization of std::numeric_limits for bfloat16
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namespace std {
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template<>
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class numeric_limits<costa::bfloat16> {
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public:
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static constexpr bool is_specialized = true;
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static constexpr bool is_signed = true;
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static constexpr bool is_integer = false;
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static constexpr bool is_exact = false;
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static constexpr bool has_infinity = true;
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static constexpr bool has_quiet_NaN = true;
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static constexpr bool has_signaling_NaN = true;
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static constexpr float_denorm_style has_denorm = denorm_present;
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static constexpr bool has_denorm_loss = false;
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static constexpr float_round_style round_style = round_to_nearest;
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static constexpr bool is_iec559 = false;
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static constexpr bool is_bounded = true;
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static constexpr bool is_modulo = false;
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static constexpr int digits = 8; // Mantissa bits + 1 (implicit)
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static constexpr int digits10 = 2; // Decimal digits of precision
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static constexpr int max_digits10 = 4; // Max decimal digits for round-trip
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static constexpr int radix = 2;
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static constexpr int min_exponent = -125;
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static constexpr int min_exponent10 = -37;
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static constexpr int max_exponent = 128;
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static constexpr int max_exponent10 = 38;
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static constexpr bool traps = false;
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static constexpr bool tinyness_before = false;
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static constexpr costa::bfloat16 min() noexcept {
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return costa::bfloat16(static_cast<uint16_t>(0x0080)); // Smallest normalized positive value
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}
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static constexpr costa::bfloat16 lowest() noexcept {
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return costa::bfloat16(static_cast<uint16_t>(0xFF7F)); // Most negative finite value
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}
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static constexpr costa::bfloat16 max() noexcept {
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return costa::bfloat16(static_cast<uint16_t>(0x7F7F)); // Largest finite value
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}
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static constexpr costa::bfloat16 epsilon() noexcept {
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return costa::bfloat16(static_cast<uint16_t>(0x3C00)); // 2^-7 (smallest x where 1+x != 1)
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}
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static constexpr costa::bfloat16 round_error() noexcept {
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return costa::bfloat16(static_cast<uint16_t>(0x3F00)); // 0.5 in BF16
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}
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static constexpr costa::bfloat16 infinity() noexcept {
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return costa::bfloat16(static_cast<uint16_t>(0x7F80)); // +Infinity
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}
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static constexpr costa::bfloat16 quiet_NaN() noexcept {
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return costa::bfloat16(static_cast<uint16_t>(0x7FC0)); // Quiet NaN
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}
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static constexpr costa::bfloat16 signaling_NaN() noexcept {
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return costa::bfloat16(static_cast<uint16_t>(0x7F80 | 1)); // Signaling NaN
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}
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static constexpr costa::bfloat16 denorm_min() noexcept {
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return costa::bfloat16(static_cast<uint16_t>(0x0001)); // Smallest denormalized positive value
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}
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};
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} // namespace std

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