A proposed programmable MCMC accelerator using a reconfigurable Gumbel-max sampler and a 3D roofline design tool claims speedups of 307.6x, 1.4x, 2.0x, and 84.2x over CPU, GPU, TPU, and a prior MCMC ASIC.
Dimes: A differentiable meta solver for combinatorial optimization problems,
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MC$^2$A: Enabling Algorithm-Hardware Co-Design for Efficient Markov Chain Monte Carlo Acceleration
A proposed programmable MCMC accelerator using a reconfigurable Gumbel-max sampler and a 3D roofline design tool claims speedups of 307.6x, 1.4x, 2.0x, and 84.2x over CPU, GPU, TPU, and a prior MCMC ASIC.