Processing-using-DRAM has been proposed for a limited set of basic operations (ie, logic
operations, addition). However, in order to enable full adoption of processing-using-DRAM …

Data movement between the CPU and main memory is a first-order obstacle against improv
ing performance, scalability, and energy efficiency in modern systems. Computer systems …

Processing-using-DRAM (PUD) is a processing-in-memory (PIM) approach that uses a
DRAM array's massive internal parallelism to execute very-wide (eg, 16,384-262,144-bit …

Various near-data processing (NDP) designs have been proposed to alleviate the memory
wall challenge for data-intensive applications. Among them, near-DRAM-bank NDP …

The rapid influx of biosequence data, coupled with the stagnation of the processing power of
modern computing systems, highlights the critical need for exploring high-performance …

Increasing interests in Bit-serial SIMD Processing-Using-DRAM (PUD) architectures amplify
the needs for a compiler to automate code generation, credited to their ultra-wide SIMD …

Processing-in-memory (PIM) minimizes data movement overheads by placing processing
units near each memory segment. Recent PIMs employ processing units with a SIMD …

Database analytic query workloads are heavy consumers of data-center cycles, and there is
constant demand to improve their performance. Associative processors (AP) have re …

High-throughput and concurrent processing of thousands of patterns on each byte of an
input stream is critical for many applications with real-time processing needs, such as …

Text generation is a compelling sub-field of natural language processing, aiming to generate
human-readable text from input words. In particular, the decoder-only generative models …