Floating-Point Operations Floating-point arithmetic operations are not strictly associative because of overflow, underflow, and loss of precision resulting from the way that floating-point numbers are represented in a computer.
The floating point arithmetic elements were comprised of adders, subtracters and multipliers in a 4-staged pipeline, and the pipeline pitch of each arithmetic element was 100ns.
In terms of coprocessors, adding an Intel® Xeon PhiTM 5110P can get up to 3.2x higher peak floating-point operations per second(FLOPS) compared to 2 Intel® Xeon® E5-2670 processors.
If the result of a floating-point arithmetic computation is not as precise as you had expected, it is likely caused by the limitations of your computer's hardware.
Not only music source but also video source playbacks can be experienced in high quality sound. The MDV-Z904W/Z904/Z704W/Z704 adopts AKM's triple core floating point arithmetic DSP for high speed and high accuracy audio signal processing such as sound quality adjustment.
In floating point operations, internal rounding control as well as the flexible floating point(FFP) format enables designers to make more efficient hardware implementations through the technique of sharing common operations..
Java provides a strict floating-point model that guarantees consistent results across platforms, though normally a more lenient mode of operation is used to allow optimal floating-point performance.
The application related factors that affect the order of floating-point operations within a single executable program include selection of a code path based on run-time processor dispatching, alignment of data arrays, variation in number of threads, threaded algorithms and internal floating-point control settings.
With AKM's triple core floating point arithmetic DSP(Digital Signal Processor) AK7738 and low phase noise master clock, the MDV-Z702/MDV-Z702W is capable of processing the abundant information of high-resolution sources with a balanced expression of the details in the music.
It continues:“Each core of the CPE has a single floating point pipeline that can perform 8 flops per cycle per core(64-bit floating point arithmetic) and the MPE has a dual pipeline each of which can perform 8 flops per cycle per pipeline(64-bit floating point arithmetic)..
It was developed by the Takahashi Laboratory(School of Science, University of Tokyo) based on the development results from the PC-1 parametron computer. The clock frequency was increased by raising the excitation frequency to 6MHz, and the system was equipped with 48-bit/word(12-bit characteristic, 36-bit mantissa) floating point arithmetic circuits, and high-speed address calculation circuits.
as well as an extended instruction set including detailed floating-point arithmetic operations especially designed for scientific and engineering calculations.
BREWでの浮動小数点演算と数学関数。
Techniques to use floating point operation and math functions in BREW.
浮動小数点数のビット列表現98.x86が持つ浮動小数点演算命令の特殊性99。
How floating numbers are expressed in bits 98. What's special about x86's floating numbers instructions 99.
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