fpga

Last year, I wrote a simple ray tracing GPU on FPGA for learning Verilog but didn't have time to write documents until last month. Last weekend, I finally finished the documentation and uploaded all source code to GitHub. It's a simple project but it should be educational for someone who is...

CNNs (convolutional neural networks) have been recently successfully applied for a wide range of cognitive challenges. Given high computational demands of CNNs, custom hardware accelerators are vital for boosting their performance. The high energy-efficiency, computing capabilities and...

A Survey Of Techniques for Approximate Computing accepted in ACM Computing Surveys 2016, reviews ~85 papers. Covers: * Approximate computing in CPU, GPU and FPGA and various processor components (e.g. cache, main memory, secondary storage) * Approximate storage in SRAM, DRAM/eDRAM, non-volatile...