InfoWorld

The 200ms latency: A developer’s guide to real-time personalization

Here is a blueprint for architecting real-time systems that scale without sacrificing speed. A common mistake I see in ...
IEEE

GAS: General-Purpose In-Memory-Computing Accelerator for Sparse Matrix Multiplication

Abstract: Sparse matrix multiplication is widely used in various practical applications. Different accelerators have been proposed to speed up sparse matrix-dense vector multiplication (SpMV), sparse ...
techxplore

Tiny silicon structures compute with heat, achieving 99% accurate matrix multiplication

MIT researchers have designed silicon structures that can perform calculations in an electronic device using excess heat instead of electricity. These tiny structures could someday enable more ...
IEEE

Multiway Merge Partitioning for Sparse-Sparse Matrix Multiplication on GPUs

Abstract: Sparse-sparse matrix multiplication (SpGEMM) is a well-studied problem on CPUs, GPUs, accelerators (e.g. FPGAs), and distributed systems. The main computational bottleneck in SpGEMM is the ...