Running machine learning inference on tiny devices, known as TinyML, is ...
In this paper we discuss an in-progress work on the development of a spe...
We introduce Aksharantar, the largest publicly available transliteration...
Recent breakthroughs in ML have produced new classes of models that allo...
Recently, there is increasing interest in multilingual automatic speech
...
Computers continue to diversify with respect to system designs, emerging...
Many applications heavily use bitwise operations on large bitvectors as ...
Low-cost devices are now commonplace and can be found in diverse environ...
PipeDream is a Deep Neural Network(DNN) training system for GPUs that
pa...
This paper summarizes the ideas and key concepts in MISE (Memory
Interfe...
This paper summarizes the idea of ChargeCache, which was published in HP...
In existing systems, to perform any bulk data movement operation (copy o...
This paper summarizes the idea of Subarray-Level Parallelism (SALP) in D...
This paper summarizes the idea of Tiered-Latency DRAM (TL-DRAM), which w...
This paper summarizes the idea of Adaptive-Latency DRAM (AL-DRAM), which...
Bitwise operations are an important component of modern day programming....
Variation has been shown to exist across the cells within a modern DRAM ...
In existing systems, the off-chip memory interface allows the memory
con...
In most modern systems, the memory subsystem is managed and accessed at
...
This paper summarizes the idea of Adaptive-Latency DRAM (AL-DRAM), which...