Amirali Boroumand

TL;DR: Ambit is proposed, an Accelerator-in-Memory for bulk bitwise operations that largely exploits existing DRAM structure, and hence incurs low cost on top of commodity DRAM designs (1% of DRAM chip area).

TL;DR: This work comprehensively analyzes the energy and performance impact of data movement for several widely-used Google consumer workloads, and finds that processing-in-memory (PIM) can significantly reduceData movement for all of these workloads by performing part of the computation close to memory.

TL;DR: The In-Memory PoInter Chasing Accelerator (IMPICA), which leverages the logic layer within 3D-stacked memory for linked data structure traversal and addresses the key challenges of how to achieve high parallelism in the presence of serial accesses in pointer chasing, and how to effectively perform virtual-to-physical address translation on the memory side without requiring expensive accesses to the CPU's memory management unit.

TL;DR: This work proposes a new and simple mechanism to implement bulk bitwise AND and OR operations in DRAM, which is faster and more efficient than existing mechanisms.

TL;DR: It is found that LazyPIM improves average performance across a range of PIM applications by 49.1 percent over the best prior approach, coming within 5.5 percent of an ideal PIM mechanism.