This study explores the potential of back-side contact (BSC) technology for enhancing power, performance, and area (PPA) in integrated circuits (ICs). Through metal stack exploration experiments on a 32-bit RISC-V core, the research demonstrates significant PPA gains by optimizing front- and back-side metal (BSM) stack and layer purpose allocation. Key findings include a 2.7% power reduction per added back-side layer for clock routing, a 5.5% frequency improvement with combined front- and back-side clock routing, and up to 14.71% power reduction or 10% frequency increase through metal stack optimization for low-power and high-performance targets, respectively. A similar study on an FPGA was also conducted by optimizing the layer stack configuration to achieve maximum frequency gains of 55.34% or 8.95% in total power consumption, respectively, compared to the baseline of an eight front-side-only layer stack configuration.

D Gaussian Splatting (3DGS) has emerged as a promising real-time photorealistic radiance field rendering technique. Existing GPU and hardware accelerators face limitations due to insufficient parallelism in sequential rendering pipeline stages and the memory overhead associated with interim results. This paper presents GSAcc, a hardware accelerator co-designed with dataflow to render compressed 3DGS models on edge platforms efficiently. GSAcc enhances 3DGS rendering performance through several key innovations. First, it introduces Gaussian depth speculation, parallelizing preprocessing and sorting tasks. Second, GSAcc adopts a Gaussian-centric dataflow that interleaves preprocessing and rasterization, allowing all rendering steps to execute concurrently without storing intermediate results. Finally, it employs dedicated hardware acceleration to address sorting and rasterization bottlenecks within the optimized dataflow. We implemented and synthesized GSAcc using Intel16 PDK and evaluated its performance on real-world 3DGS scenes. Compared with desktop GPUs, GSAcc achieves up to $1.66 \times 10^{4} \mathrm{x}$ Power-Performance-Area (PPA) improvement as well as 48.7 x energy savings. Additionally, GSAcc outperforms the state-of-the-art hardware accelerator GSCore with up to 2.3x PPA improvement and 2.9x energy savings.