The ability to automatically generate optimized hardware from software was one of the primary tenets of system-level design automation that was never fully achieved. The question now is whether that ...
TOKYO--(BUSINESS WIRE)--Toshiba Memory Corporation, the world leader in memory solutions, today announced the development of a high-speed and high-energy-efficiency algorithm and hardware architecture ...
“Compute-in-memory (CIM) is an attractive solution to process the extensive workloads of multiply-and-accumulate (MAC) operations in deep neural network (DNN) hardware accelerators. A simulator with ...
* a linear programming problem that would take 82 years to solve in 1988 could be solved in one minute in 2003. Hardware accounted for 1,000 times speedup, while algorithmic advance accounted for ...
[Editor's note: For an intro to floating-point math, see Tutorial: Floating-point arithmetic on FPGAs. For a comparison of fixed- and floating-point hardware, see Fixed vs. floating point: a ...
Historically, exploiting FPGA or ASIC implementation of DSP algorithms has been the domain of companies with highly-skilled designers and large budgets. Now, a new generation of tools is bringing ...
Microsoft is open-sourcing its cloud-compression algorithm and optimized hardware implementation for cloud storage. Microsoft is contributing that algorithm, known as ""=""> plus the associated ...
Most computers and algorithms — including, at this point, many artificial intelligence (AI) applications — run on general-purpose circuits called central processing units or CPUs. Though, when some ...
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